Lublin

Hotel Trzy Róże, Zemborzyce Dolne 96a, Lublin, Poland, 20-515

The training rooms are equipped with modern audiovisual equipment, enabling effective presentations and in...

Subcategories (16)

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Amazon Web Services (AWS)
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Tinkerbell
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Azure
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Terraform
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OpenStack
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Serverless Computing
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Infrastructure as a Service (IaaS)
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Nextcloud
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Bluemix
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GlusterFS
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OpenNebula
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NoCloud

Explore Our Courses

Generative AI with Azure OpenAI for Java Developers

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications.By the end of this training, participants will be able to:
  • Understand the principles of Generative AI and its applications.
  • Set up and manage an Azure OpenAI service.
  • Integrate OpenAI's models into Java applications.
  • Deploy AI-powered features within web applications.
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AI on Amazon Web Services (AWS)

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.By the end of this training, participants will be able to:
  • Understand the AI/ML services provided by AWS.
  • Be able to set up and manage AI/ML environments on AWS.
  • Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
  • Learn to utilize various AWS AI services for specific use cases.
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AWS Cloud Administrator Certification

 35 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.By the end of this training, participants will be able to:
  • Set up and configure AWS services and resources securely.
  • Manage user identities, permissions, and access to AWS resources.
  • Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
  • Implement and manage data flow to and from AWS.
  • Optimize AWS service usage to ensure efficient operation and cost management.
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Data Management and Industry-Aware Data Fabrics

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in industry-specific cloud environments.By the end of this training, participants will be able to:
  • Understand the principles and components of data fabrics.
  • Design and implement data integration and orchestration solutions.
  • Ensure data quality and governance within industry cloud platforms.
  • Utilize data fabrics to support industry-specific data analysis and decision-making.
  • Stay current with emerging trends and technologies in cloud data management.
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Advanced Terraform: Efficient Infrastructure as Code

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level to advanced-level DevOps engineers, cloud architects, and infrastructure specialists who wish to enhance their skills in managing and orchestrating distributed infrastructure using Terraform's advanced features.By the end of this training, participants will be able to:
  • Utilize Terraform's advanced features to create dynamic, scalable infrastructure.
  • Structure and manage Terraform modules for optimal reusability and efficiency.
  • Integrate Terraform with CI/CD pipelines for seamless automation.
  • Debug and troubleshoot complex Terraform configurations effectively.
  • Implement best practices for maintaining and scaling cloud infrastructure with Terraform.
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AWS Security Audit

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn how to conduct an AWS security audit effectively and efficiently.By the end of this training, participants will be able to:
  • Understand the core concepts and benefits of AWS security audit.
  • Use AWS tools and services to perform an AWS security audit.
  • Analyze and interpret the audit results and recommendations.
  • Implement the audit findings and remediate the issues.
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Introduction to Industry Cloud Platforms (ICPs)

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at beginner-level IT professionals, business analysts, and project managers who wish to understand the fundamentals of cloud computing and its applications in various industries.By the end of this training, participants will be able to:
  • Identify the key characteristics and benefits of cloud computing.
  • Understand the differences between various cloud service and deployment models.
  • Recognize the importance of industry-specific cloud solutions.
  • Assess the security and compliance aspects of cloud platforms.
  • Explore emerging trends and future directions in cloud technology.
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Advanced Terraform - 3 Days

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at beginner-level to advanced-level DevOps engineers, system administrators, and system architects who wish to enhance their Terraform skills and proficiency in managing complex infrastructure deployments.By the end of this training, participants will be able to:
  • Develop and maintain Terraform projects at scale.
  • Demonstrate expertise with HCL and some of the more-advanced expression language capabilities and practices.
  • Utilize various automation tools and processes for managing Terraform ops in continuous integration and delivery pipelines, including testing and quality assurance tools and processes.
  • Act as an expert in any existing or new Terraform project or module.
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Azure Synapse Analytics

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.By the end of this training, participants will be able to:
  • Understand the core concepts, architecture, and components of Azure Synapse Analytics.
  • Create, configure, and manage scalable data warehouses using Azure Synapse.
  • Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
  • Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
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AWS Financial Management for Builders

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level cloud architects and developers who wish to gain the knowledge and tools necessary to efficiently manage and optimize AWS costs, aligning cloud spending with business objectives. By the end of this training, participants will be able to:
  • Understand how AWS pricing works and how different services contribute to overall costs.
  • Learn how to implement cost-saving measures, utilize reserved instances, and optimize resource usage.
  • Develop skills to create, manage, and adhere to budgets within the AWS framework.
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Alibaba Cloud Fundamentals

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at IT professionals who wish to learn the fundamentals of Alibaba Cloud and how to use its cloud computing services. By the end of this training, participants will be able to:
  • Understand the Alibaba Cloud solution architecture.
  • Learn about the Alibaba Cloud core products and services.
  • Understand the capabilities of Alibaba Cloud in dealing with big data and databases.
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Advanced Terraform

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers with basic experience in managing infrastructure who wish to use Terraform to design, build, and automate multiple environment configurations and complex DevOps processes.By the end of this training, participants will be able to:
  • Set up workspaces for multiple environments with Terraform.
  • Know the best practices in managing infrastructure at scale.
  • Use the advanced tools and CLI configurations in Terraform.
  • Design and develop complex Terraform modules.
  • Gain expertise in advanced HCL operators and coding techniques.
  • Implement security hardening and code analysis.
  • Automate testing processes and CI/CD pipelines.
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Azure Data Lake Storage Gen2

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.By the end of this training, participants will be able to:
  • Understand the architecture and key features of Azure Data Lake Storage Gen2.
  • Optimize data storage and access for cost and performance.
  • Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
  • Develop solutions using the Azure Data Lake Storage Gen2 API.
  • Troubleshoot common issues and optimize storage strategies.
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AWS Cloud Security

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to secure Amazon Web Services (AWS) environments effectively. By the end of this training, participants will be able to:
  • Understand the core concepts of AWS Cloud Security and its importance in a cloud environment.
  • Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
  • Define and enforce security policies and monitor AWS resources.
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Building Cloud Services with NoCloud

 28 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level developers, system administrators, and cloud architects who wish to use NoCloud for their cloud solutions. By the end of this training, participants will be able to:
  • Set up a development environment that includes NoCloud, Docker, Kubernetes, and Helm.
  • Create and manage cloud services with NoCloud.
  • Understand the lifecycle of a cloud service in NoCloud.
  • Integrate NoCloud with existing infrastructure or virtual resources.
  • Troubleshoot common issues in a NoCloud environment.
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OpenNebula Cloud Computing

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers, system administrators, and cloud enthusiasts who wish to gain practical knowledge of OpenNebula and use it for their cloud solutions. By the end of this training, participants will be able to:
  • Set up a development environment that includes OpenNebula.
  • Create and manage virtual machines in OpenNebula.
  • Understand the lifecycle of a virtual machine.
  • Integrate OpenNebula with existing infrastructure.
  • Troubleshoot common issues in an OpenNebula environment.
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Boomi Developer Advanced

 28 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate to advanced-level integration developers and system administrators who wish to learn advanced Boomi techniques for building, managing, and deploying cloud-based solutions on integration platforms. By the end of this training, participants will be able to:
  • Use AtomSphere and work with Boomi documents.
  • Create and design complex integration processes for advanced logic and data processing.
  • Manage deploy integration processes, logging, and reporting.
  • Capture and handle errors.
  • Apply best practices and techniques for integrating with Boomi.
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Terraform in Practice

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at intermediate-level DevOps engineers who wish to use Terraform to build and manage real infrastructure projects in a cloud environment.By the end of this training, participants will be able to:
  • Understand Terraform and IaC fundamentals.
  • Learn to write and manage Terraform configurations.
  • Master Terraform for infrastructure automation across AWS, Azure, and GCP.
  • Utilize Terraform's advanced features including workspaces and modules.
  • Integrate Terraform with CI/CD pipelines and Terraform Cloud for team collaboration.
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Azure Cloud Security Basic to Advanced

 35 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at security administrators who wish to learn how to configure Azure cloud security to secure workloads running in Azure. By the end of this training, participants will be able to:
  • Configure host and network security.
  • Configure Azure advanced security options.
  • Use Azure to secure cloud computing workloads.
  • Use endpoint protection services security against malware and viruses.
  • Secure container workloads that are running in Azure.
Read more...

Developing Serverless Solutions on AWS

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to build serverless applications using services in the AWS serverless platform. By the end of this training, participants will be able to:
  • Implement event-driven best practices in designing serverless applications using appropriate AWS services.
  • Build serverless applications using AWS services.
  • Monitor, secure, and scale serverless applications on AWS.
  • Utilize different developer tools to configure and automate serverless application deployment.
  • Create and maintain a list of serverless resources that will aid in serverless application development.
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Terraform Fundamentals for Beginners

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at DevOps engineers with little or no previous experience managing infrastructure. Terraform will be used to automate the setup and deployment of infrastructure on and off the cloud.By the end of this training, participants will be able to:
  • Install and configure Terraform.
  • Understand the principles of infrastructure as code.
  • Set up and automate infrastructure using Terraform.
  • Write and share configuration file with team members.
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Kubernetes on Azure (AKS)

 14 Hours
In this instructor-led, live training in Lublin (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on AKS.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Azure.
  • Migrate an existing Kubernetes environment from on-premise to AKS cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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Kubernetes on AWS

 14 Hours
EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup. In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on EKS
  • Migrate an existing Kubernetes environment from on-premise to AWS cloud
  • Integrate Kubernetes with third-party continuous integration (CI) software
  • Ensure high availability and disaster recovery in Kubernetes
  • Understand and adopt the tools available to efficiently manage EKS
Audience
  • Developers
  • System Administrators
  • DevOps Engineers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
  • To request a customized training for this course, please contact us to arrange.
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Google Kubernetes Engine (GKE)

 14 Hours
In this instructor-led, live training in Lublin, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on Google Cloud.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Google Cloud.
  • Migrate an existing Kubernetes environment from on-premise to Google Cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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Introduction to Microsoft Azure and Azure Kubernetes Service

 28 Hours
During the "Introduction to Microsoft Azure and Azure Kubernetes Service" training, participants will acquire skills in creating applications in the Microsoft Azure cloud, using containerization (Docker) and service Azure Kubernetes Service (AKS). The course covers architecture Microsoft Azure, application hosting strategies, creating resource groups and configuring services. Participants will also learn modern application development practices using Git repository, containers Docker, CI/CD flows and AKS. The training will include practical implementation examples and concepts Docker, Kubernetes and integration with tools Azure DevOps.
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Azure for Data Engineer

 35 Hours
Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data. By the end of this training, participants will be able to:
  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
 
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Serverless on Kubernetes Fundamentals

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes. By the end of this training, participants will be able to:
  • Setup and configure the Kubernetes system to start developing with a serverless architecture.
  • Understand the concepts and principles foundational to serverless environments.
  • Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
  • Practice their skill in Python programming language and apply it to implement  serverless systems.
  • Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
  • Utilize modern cloud computing methods in optimizing DevOps task processing workflows.
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Docker and Kubernetes on AWS

 21 Hours
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization. By the end of this training, participants will be able to:
  • Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
  • Set up, configure and deploy a series of demo containers using a number of different approaches.
  • Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
  • Automate the deployment of Docker containers.
  • Set up a continuous integration and deployment pipeline.
  • Integrate Docker and Kubernetes into an existing continuous integration system.
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AZ-304T00-A: Microsoft Azure Architect Design

 28 Hours
This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution.
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SC-200T00: Microsoft Security Operations Analyst

 28 Hours
Learn how to investigate, respond to, and hunt for threats using Microsoft Azure Sentinel, Azure Defender, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Azure Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst. Audience Profile The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies. Job role: Security Engineer Preparation for exam: SC-200 Features: none Skills gained
  • Explain how Microsoft Defender for Endpoint can remediate risks in your environment
  • Create a Microsoft Defender for Endpoint environment
  • Configure Attack Surface Reduction rules on Windows 10 devices
  • Perform actions on a device using Microsoft Defender for Endpoint
  • Investigate domains and IP addresses in Microsoft Defender for Endpoint
  • Investigate user accounts in Microsoft Defender for Endpoint
  • Configure alert settings in Microsoft Defender for Endpoint
  • Explain how the threat landscape is evolving
  • Conduct advanced hunting in Microsoft 365 Defender
  • Manage incidents in Microsoft 365 Defender
  • Explain how Microsoft Defender for Identity can remediate risks in your environment
  • Investigate DLP alerts in Microsoft Cloud App Security
  • Explain the types of actions you can take on an insider risk management case
  • Configure auto-provisioning in Azure Defender
  • Remediate alerts in Azure Defender
  • Construct KQL statements
  • Filter searches based on event time, severity, domain, and other relevant data using KQL
  • Extract data from unstructured string fields using KQL
  • Manage an Azure Sentinel workspace
  • Use KQL to access the watchlist in Azure Sentinel
  • Manage threat indicators in Azure Sentinel
  • Explain the Common Event Format and Syslog connector differences in Azure Sentinel
  • Connect Azure Windows Virtual Machines to Azure Sentinel
  • Configure Log Analytics agent to collect Sysmon events
  • Create new analytics rules and queries using the analytics rule wizard
  • Create a playbook to automate an incident response
  • Use queries to hunt for threats
  • Observe threats over time with livestream
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AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

 28 Hours
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language. Audience Profile Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
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AZ-040T00: Automating Administration with PowerShell

 35 Hours
This course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches.
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AZ-140T00: Configuring and Operating Microsoft Azure Virtual Desktop

 28 Hours
This course teaches Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote apps, for any device, on Azure. Students will learn through a mix of demonstrations and hands-on lab experiences deploying virtual desktop experiences and apps on Azure Virtual Desktop and optimizing them to run in multi-session virtual environments.
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AZ-400T00-A: Designing and Implementing Microsoft DevOps solutions

 35 Hours
This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms. Audience profile Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. Job role: DevOps Engineer Preparation for exam: AZ-400   Skills gained
  • Plan for the transformation with shared goals and timelines
  • Select a project and identify project metrics and Key Performance Indicators (KPI's)
  • Create a team and agile organizational structure
  • Design a tool integration strategy
  • Design a license management strategy (e.g. Azure DevOps and GitHub users)
  • Design a strategy for end-to-end traceability from work items to working software
  • Design an authentication and access strategy
  • Design a strategy for integrating on-premises and cloud resources
  • Describe the benefits of using Source Control
  • Describe Azure Repos and GitHub
  • Migrate from TFVC to Git
  • Manage code quality including technical debt SonarCloud, and other tooling solutions
  • Build organizational knowledge on code quality
  • Explain how to structure Git repos
  • Describe Git branching workflows
  • Leverage pull requests for collaboration and code reviews
  • Leverage Git hooks for automation
  • Use Git to foster inner source across the organization
  • Explain the role of Azure Pipelines and its components
  • Configure Agents for use in Azure Pipelines
  • Explain why continuous integration matters
  • Implement continuous integration using Azure Pipelines
  • Define Site Reliability Engineering
  • Design processes to measure end-user satisfaction and analyze user feedback
  • Design processes to automate application analytics
  • Manage alerts and reduce meaningless and non-actionable alerts
  • Carry out blameless retrospectives and create a just culture
  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure
  • Describe the potential challenges with integrating open-source software
  • Inspect open-source software packages for security and license compliance
  • Manage organizational security and compliance policies
  • Integrate license and vulnerability scans into build and deployment pipelines
  • Configure build pipelines to access package security and license ratings
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OpenStack Administration

 14 Hours
The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 75% of hands-on workshop in the real OpenStack environment.
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OpenStack Architecture and Troubleshooting

 14 Hours
The aim of this course is twofold - gain solid knowledge about OpenStack architecture and acquire profound troubleshooting skills. In the architecture part you will learn how to design the hardware for the public and private cloud, prepare high-availability control plane, choose proper size of the flavours, and safely overcommit cloud resources, among other things. Getting knowledge about the internals of Neutron (Networking Service) is another essential part in OpenStack architecture. Next the participant will be introduced into methods of troubleshooting issues in OpenStack clusters starting from general tips, through network troubleshooting up to caveats of main OpenStack services. Around 75% of the course comprises of hands-on workshops in the real OpenStack training environment.
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OpenStack Bootcamp

 28 Hours
The course is a comprehensive training on OpenStack. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment.
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OpenStack Bootcamp Extended

 35 Hours
The course is a comprehensive training on OpenStack, extended version of the OpenStack Bootcamp course includes extra excercises, troubleshooting and sample examination tasks. Extended content is highlited in bold in the course outline. It starts with the introduction to the system, then through hands-on workshops it gives practical knowledge on managing private clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to give a strong background for further expansion and refinement of the OpenStack clouds. The course comprises all topics necessary to accomplish the Certificate OpenStack Administrator exam. 75% of the course is based on hands-on workshop in the real OpenStack training environment. After the course participants get all the materials and training environment for self-study and feature/troubleshooting excercises. Customization options The full course is to be meant for at least 5 days. It could be shortened if some of the topics are not relevant for the customer. In case the participants are beginners to OpenStack (slower pace) it is recommended to expand the course for 6 days or remove some advanced topics. The course can be also extended with 1 more day when OVN topics can be presented.  
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OpenStack and NFV (with OVN and OpenFlow)

 21 Hours
The course is a profound training on OpenStack networking. It starts with the introduction to OpenStack and its architecture, then clarifies core OpenStack projects as Identity service (Keystone), Image service (Glance), Compute service (Nova), Block storage (Cinder) in order to describe the surroundings of the networks in OpenStack and mainly focus on Networking project (Neutron). Virtual network infrastructure is described and based on the Open Virtual Network project, Open vSwitch and OpenFlow. The goal of the course is to understand basic operations and architecture of OpenStack as well as to familiarize participants with various networking technologies behind OpenStack, extending information about OVN and underlying flows, resources and tools. Customization options The training can be contracted to 2 days, focusing on core aspects relevant for the customer. The training can be also extended regarding administrative, design, networking and/or troubleshooting topics concerning OpenStack deployments. It is possible to describe other underlying SDN solutions like Linux Bridge or OvS.
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Preparation for Certified OpenStack Administrator (COA) exam

 21 Hours
The aim of this course is to get familiar with the OpenStack environment both from the operator and administrator side. After a brief introduction to cloud computing you will get your own OpenStack instance and perform hands-on operational and administrative actions. The course covers all the basic components of the OpenStack from general architecture to administering the cloud. The format of the course comprises around 90% of hands-on workshop in the real OpenStack environment. The course cover all topics from Certificate OpenStack Administrator exam and prepares participant to the exam both theoretically and practically. Moreover programme of the course has been extended about topic that will allow the participant to better understand all OpenStack caveats required to pass the exam. At the end of the course every participant will have a chance to test themself during the mock COA exam.
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Fn Project

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at programmers and developers who wish to use Fn in creating serverless applications and services. By the end of this training, participants will be able to:
  • Set up Fn to create directories and functions.
  • Create applications using different programming languages.
  • Monitor functions to resolve issues at the development and deployment stages.
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Parallel Programming with OpenMP

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP. By the end of this training, participants will be able to:
  • Understand and use parallel programming with Fortran in OpenMP.
  • Calculate fractals in parallel to render multiple pixels and characters.
  • Implement vector programming with SIMD extensions for HPC systems.
  • Add parallel blocks for specifying shared memory parallelism.
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Kubeless for Developers

 14 Hours
This instructor-led, live training in Lublin (onsite or remote) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes. By the end of this training, participants will be able to:
  • Install and configure Kubeless.
  • Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
  • Comfortably manage functions as standard Kubernetes objects.
  • Troubleshoot deployments using existing logging and monitoring setup and skills.
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OpenFaas for Developers

 14 Hours
This instructor-led, live training in Lublin (onsite or remote) is aimed at developers who wish to use OpenFaas to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying server infrastructure. By the end of this training, participants will be able to:
  • Install and configure OpenFaas.
  • Package any binary or code as a serverless function without repetitive boiler-plate coding.
  • Decouple from AWS Lambda to avoid lock-in.
  • Deploy event-driven functions to an on-premise server or to the cloud.
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Knative for Developers

 14 Hours
This instructor-led, live training in Lublin (onsite or remote) is aimed at developers who wish to use Knative to deploy serverless, event-driven functions, applications, and containers in a simplified and consistent manner. By the end of this training, participants will be able to:
  • Install and configure Knative on-premise.
  • Deploy and run serverless functions and applications that autoscale.
  • Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
  • Simplify the overhead of deploying containers; focus on writing great code.
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Serverless Framework for Developers

 14 Hours
This instructor-led, live training in Lublin (onsite or remote) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications. By the end of this training, participants will be able to:
  • Set up Serverless Framework to work with compute services such as AWS Lambda.
  • Reduce the complexity and cost of deploying microservices on different cloud platforms.
  • Emit and capture events and execute functions automatically.
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Building Microservices with Microsoft Azure Service Fabric (ASF)

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).By the end of this training, participants will be able to:
  • Use ASF as a platform for building and managing microservices.
  • Understand key microservices programming concepts and models.
  • Create a cluster in Azure.
  • Deploy microservices on premises or in the cloud.
  • Debug and troubleshoot a live microservice application.
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Amazon DynamoDB for Developers

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start integrating data into DynamoDB.
  • Integrate DynamoDB into web applications and mobile applications.
  • Move data in AWS with AWS services.
  • Implement operations with AWS DAX.
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Advanced Amazon Web Services (AWS) CloudFormation

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem. By the end of this training, participants will be able to:
  • Implement CloudFormation templates to automate infrastructure management.
  • Integrate existing AWS resources into CloudFormation.
  • Use StackSets to manage stacks across multiple accounts and regions.
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Certified Cloud Security Professional (CCSP) - training

 35 Hours
___ is ___. This instructor-led, live training (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level ___ who wish to use ___ to ___. By the end of this training, participants will be able to:
  • Install and configure ___.
  • ___. 
  • ___. 
  • ___. 
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AWS CloudFormation

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure. By the end of this training, participants will be able to:
  • Enable AWS services to get started managing infrastructure.
  • Understand and apply the principle of "infrastructure as code".
  • Improve quality and lower the costs of deploying infrastructure.
  • Write AWS CloudFormation Templates using YAML.
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Tworzenie rozwiązań IoT z wykorzystaniem Amazon Web Services

 28 Hours
The "Creating IoT solutions using Amazon Web Services" training focuses on presenting AWS services in the context of creating IoT solutions. Participants will gain skills in using the management console, the AWS CLI tool, and learn about the AWS architecture. The course covers the AWS IoT Core service, defining devices, generating certificates, and establishing secure communication. Additionally, participants will learn how to integrate IoT Core with various AWS services, including SNS, SQS, DynamoDB, S3, API Gateway, AWS Lambda, as well as how to integrate IoT with artificial intelligence services such as Rekognition and Texttract.
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AWS IoT Core

 14 Hours
This instructor-led, live training in Lublin (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS. By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.
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Amazon Web Services (AWS) IoT Greengrass

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices. By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.
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Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「8 Hours Remote」

 8 Hours
Summary:
  • Basics of IoT architecture and functions
  • “Things”, “Sensors”, Internet and the mapping between business functions of IoT
  • Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
  • IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
  • Basics of IoT device communication with cloud with MQTT.
  • Connecting IoT devices to AWS with MQTT (AWS IoT Core).
  • Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
  • Connecting Raspberry PI with AWS IoT core and simple data communication.
  • Hands on with Raspberry PI and AWS IoT Core to build a smart device.
  • Sensor data visualization and communication with web interface.
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Advanced AWS Lambda

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to integrate AWS Lambda applications and services with other services (API Gateway, Kinesis Streams, etc.). The training demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.   By the end of this training, participants will be able to:
  • Collaboratively develop functions, applications and services using AWS Cloud9 IDE.
  • Integrate AWS Lambda functions with other AWS services.
  • Create and manage APIs.
  • Set up an AWS Lambda function to read and process real-time streaming data.
  • Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda functions and applications.
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AWS Lambda for Developers

 14 Hours
This instructor-led, live training in Lublin (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.). By the end of this training, participants will be able to:
  • Configure AWS Lambda to execute a function.
  • Understand FaaS (Functions as a Service) and the advantages of serverless development.
  • Build, upload and execute AWS Lambda functions.
  • Integrate Lambda functions with different event sources.
  • Package, deploy, monitor and troubleshoot Lambda based applications.
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Boomi Integration Fundamentals

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at integration developers, sysadmins, and system integrators who wish to use Boomi to build, manage, and deploy integration platforms for cloud-based solutions. By the end of this training, participants will be able to:
  • Set up the necessary environment to start building integrations with Boomi.
  • Understand Boomi AtomSphere's features, architecture, and core concepts.
  • Learn how to design, build, and deploy integration processes with Boomi.
  • Use Boomi's dashboard and reporting options to monitor applications.
  • Manage configurations and deployments for Atom, Molecule, and Atom Cloud.
  • Enable web services and API integration and management with Boomi.
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Virtualization with Citrix Hypervisor for Administrators

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at sysadmins or IT administrators who wish to use Citrix Hypervisor to deploy, manage, and optimize data center virtualization across desktop, servers, and cloud. By the end of this training, participants will be able to:
  • Set up the necessary environment to start managing desktop, server, and cloud virtualization with Citrix Hypervisor.
  • Simplify virtualization management and operations by utilizing the full features and architecture of Citrix Hypervisor.
  • Configure and manage the Citrix Hypervisor environment using XenCenter and CLI commands.
  • Learn how to install, configure, and manage virtual machines, GPUs, and storage repositories.
  • Optimize the overall performance of Citrix Hypervisor pools by implementing high availability and workload balancing.
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Tinkerbell: Provisioning Bare Metal Servers

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to provision and manage bare metal servers in the cloud and on premise. By the end of this training, participants will be able to:
  • Install and configure the Tinkerbell provisioning stack.
  • Consistently deploy bare metal infrastructure using a CI/CD-like, declarative approach.
  • Provision and lifecycle heterogeneous physical infrastructure in the cloud or on premise.
  • Automate bare metal deployments at the hardware layer, regardless of processor architecture, storage configuration, networking environment, or operating system.
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GlusterFS for System Administrators

 21 Hours
GlusterFS is an open-source distributed file storage system that can scale up to petabytes of capacity. GlusterFS is designed to provide additional space depending on the user's storage requirements. A common application for GlusterFS is cloud computing storage systems. In this instructor-led training, participants will learn how to use normal, off-the-shelf hardware to create and deploy a storage system that is scalable and always available.  By the end of the course, participants will be able to:
  • Install, configure, and maintain a full-scale GlusterFS system.
  • Implement large-scale storage systems in different types of environments.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Serverless Architecture with Firecracker

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at DevOps engineers who wish to use Firecracker to create and manage secure serverless architecture.
    
By the end of this training, participants will be able to:
  • Implement KVM-based virtualization or microVMs to enhance security.
  • Optimize kernel loading for faster startup time.
  • Scale storage resources with less memory overhead.
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Serverless Computing for Administrators

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at system administrators who wish to implement, monitor, and analyze IT operations using a serverless environment. By the end of this training, participants will be able to:
  • Manage IT operations using a Function-as-a-Service (FaaS) model.
  • Automate functions to build multiple-tier web applications.
  • Analyze and monitor infrastructures using a serverless framework.
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Serverless Computing for Managers

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at executives, directors, and managers who wish to implement serverless computing solutions that meet organizational needs. By the end of this training, participants will be able to strategize, monitor, and manage enterprise-grade productions with serverless models and platforms.
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Terraform for Managing Cloud Infrastructure

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to use Terraform to plan and build cloud infrastructure. By the end of this training, participants will be able to:
  • Install and configure Terraform.
  • Implement an "infrastructure as code" approach to managing private and public cloud environments.
  • Write declarative configuration files for more efficient change management and collaboration.
  • Improve transparency in the infrastructure procurement process.
  • Create, launch, and remove resources across different infrastructure providers (AWS, GCP, Azure, OpenStack, VMware, etc.) from within a single tool.
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Terraform on AWS

 21 Hours
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure. By the end of this training, participants will be able to:
  • Install and configure Terraform on AWS.
  • Implement an "infrastructure as code" approach to managing AWS cloud environments.
  • Create, launch, and dismantle infrastructure from within a single tool.
  • Write declarative configuration files that can be managed like any other source code in a version control system.
  • Quickly update configuration files for effectively responding to changing compute resource needs.
  • Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
  • Improve transparency in the infrastructure procurement process.
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Terraform on GCP (Google Cloud Platform)

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to use Terraform on GCP to plan and build cloud infrastructure. By the end of this training, participants will be able to:
  • Install and configure Terraform on GCP.
  • Implement an "infrastructure as code" approach to managing private and public cloud environments.
  • Create, launch, and dismantle infrastructure from within a single tool.
  • Write declarative configuration files that can be managed like any other source code in a version control system.
  • Quickly update configuration files for effectively responding to changing compute resource requirements.
  • Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
  • Improve transparency in the infrastructure procurement process.
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Nextcloud

 7 Hours
Nextcloud is an open-source cloud-based file hosting solution aimed at enterprises who want to have full control over their data. Its open-source nature gives enterprises the freedom to integrate customized solutions into Nextcloud based on their specific needs. In this instructor-led, live training, participants will learn the fundamentals of Nextcloud as they step through setting up their own Nextcloud server. By the end of this training, participants will be able to:
  • Install and configure Nextcloud
  • Perform Nextcloud administration and optimization tasks
  • Integrate third-party solutions with Nextcloud to fit their organization's needs
Audience
  • System Administrators
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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MS-20487: Developing Microsoft Azure and Web Services (authorized training course)

 35 Hours
About This Course In this course, students will learn how to design and develop services that access local and remote data from various sources. Students will also learn how to develop and deploy services to hybrid environments, including on-premises servers and Microsoft Azure. Audience Profile Primary: .NET developers who want to learn how to develop services and deploy them to hybrid environments.
Secondary: .NET developers with Web application development experience who are exploring developing new applications or porting existing applications to Microsoft Azure. At Course Completion After completing this course, students will be able to:
  • Describe the basic concepts of service development and data access strategies using the .NET platform.
  • Describe the Microsoft Azure cloud platform and its compute, data, and application hosting offerings.
  • Design and develop a data-centric application using Visual Studio 2017 and Entity Framework Core.
  • Design, implement, and consume HTTP services using ASP.NET Core.
  • Extend HTTP services using ASP.NET Core.
  • Host services on-premises and in Microsoft Azure.
  • Deploy services to both on-premises and cloud environments and manage the interface and policy for their services.
  • Choose a data storage solution, cache, distribute, and synchronize data.
  • Monitor, log, and troubleshoot services.
  • Describe claim-based identity concepts and standards, and implement authentication and authorization with Azure Active Directory.
  • Create scalable service applications.
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Designing and Implementing an Azure AI Solution (authorized training course AI 100T01)

 21 Hours
Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.  
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Microsoft Azure AI Fundamentals (authorized training course AI 900T00)

 7 Hours
About This Course This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth. Audience Profile The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. At Course Completion After completing this course, you will be able to:
  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure
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Azure Machine Learning (AML)

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment. By the end of this training, participants will be able to:
  • Write highly-accurate machine learning models using Python, R, or zero-code tools.
  • Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
  • Use Azures interactive workspace to collaboratively develop ML models.
  • Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
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Azure Administration for AWS SysOps (authorized training course AZ 010T00)

 14 Hours
About This Course This two-day course is designed for AWS Sysops administrators interested in learning how Azure is different from AWS, and how Azure is administered. The workshops main topics are Azure Administration, Azure Networking, Azure Compute, Azure Storage, and Azure Governance. This workshop combines lecture with hands-on practical exercises and discussion/review. During the workshop students will build an end-to-end architecture that demonstrates the main features discussed in the course. Audience Profile The audience for this course is an AWS Sysops Administrator Associate or equivalent. This person has one to two years of experience in AWS deployment, management, and operations. Students taking this course are interested in learning how Azure is different from AWS, and how Azure is administered. Students may also be interested in taking the AZ-103 Microsoft Azure Administrator certification exam, or the AZ-900 Azure Fundamentals exam.
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AZ-020: Microsoft Azure solutions for AWS developers (authorized training course)

 21 Hours
About This Course A three-day course designed to teach AWS (Amazon Web Services) developers how to prepare end-to-end solutions in Microsoft Azure. In this course you will construct Azure App Service Web App solutions and Azure Functions, use blob or Cosmos DB storage in solutions, implement secure cloud solutions that include user authentication and authorization, implement API management, and develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure solutions. You will learn how developers use Azure services, with additional focus on features and tasks that differ from AWS, and what that means for you as you develop applications that will be hosted by using Azure services. Audience Profile Students in this course are experienced AWS developers interested in Azure development.
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AZ-104T00-A: Microsoft Azure Administrator

 28 Hours
This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution. This course is for Azure Administrators. The Azure Administrator implements manages and monitors identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will provision, size, monitor, and adjust resources as appropriate.
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AZ-204T00: Developing solutions for Microsoft Azure (authorized training course)

 35 Hours
About This CourseThis course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.Audience Profile
  • Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.
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AZ-305T00: Designing Microsoft Azure Infrastructure Solutions

 28 Hours
Skills gained
  • Design a governance solution.
  • Design a compute solution.
  • Design an application architecture.
  • Design storage, non-relational and relational.
  • Design data integration solutions.
  • Design authentication, authorization, and identity solutions.
  • Design network solutions.
  • Design backup and disaster recovery solutions.
  • Design monitoring solutions.
  • Design migration solutions.
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AZ-500T00-A: Microsoft Azure Security Technologies

 28 Hours
This course provides IT Security Professionals with the knowledge and skills needed to implement security controls, maintain an organization’s security posture, and identify and remediate security vulnerabilities. This course includes security for identity and access, platform protection, data and applications, and security operations. Audience profile This course is for Azure Security Engineers who are planning to take the associated certification exam, or who are performing security tasks in their day-to-day job. This course would also be helpful to an engineer that wants to specialize in providing security for Azure-based digital platforms and play an integral role in protecting an organization's data. Skills gained
  • Implement enterprise governance strategies including role-based access control, Azure policies, and resource locks.
  • Implement an Azure AD infrastructure including users, groups, and multi-factor authentication.
  • Implement Azure AD Identity Protection including risk policies, conditional access, and access reviews.
  • Implement Azure AD Privileged Identity Management including Azure AD roles and Azure resources.
  • Implement Azure AD Connect including authentication methods and on-premises directory synchronization.
  • Implement perimeter security strategies including Azure Firewall.
  • Implement network security strategies including Network Security Groups and Application Security Groups.
  • Implement host security strategies including endpoint protection, remote access management, update management, and disk encryption.
  • Implement container security strategies including Azure Container Instances, Azure Container Registry, and Azure Kubernetes.
  • Implement Azure Key Vault including certificates, keys, and secretes.
  • Implement application security strategies including app registration, managed identities, and service endpoints.
  • Implement storage security strategies including shared access signatures, blob retention policies, and Azure Files authentication.
  • Implement database security strategies including authentication, data classification, dynamic data masking, and always encrypted.
  • Implement Azure Monitor including connected sources, log analytics, and alerts.
  • Implement Azure Security Center including policies, recommendations, and just in time virtual machine access.
  • Implement Azure Sentinel including workbooks, incidents, and playbooks.
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AZ-900T00 Microsoft Azure Fundamentals

 7 Hours
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Architecting Microsoft Azure Solutions

 14 Hours
This training permits delegates to improve their Microsoft Azure solution design skills. After this training the delegate will understand the features and capabilities of Azure services, to be able to identify trade-offs, and make decisions for designing public and hybrid cloud solutions. During training the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution life-cycle will be defined.
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Azure CLI: Getting Started

 7 Hours
Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services. The Azure Command Line Interface (CLI) is an open source, cross-platform command line tool that makes creating and managing Azure resources easier. In this instructor-led, live training, participants will learn how to get started using the Azure CLI. By the end of this training, participants will be able to:
  • Understand the basics of using the Azure CLI
  • Learn techniques for managing resources using the Azure CLI
  • Apply their learnings to practical real-world problems involving virtual machines, resource management, storage accounts, web apps, and SQL databases
  • Automate their API using Azure service principals
Audience
  • Developers
  • IT Professionals
  • Technicians
  • DevOps E
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Azure DevOps Fundamentals

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches. By the end of this training, participants will be able to:
  • Understand the fundamental DevOps vocabulary and principles.
  • Install and configure the necessary Azure DevOps tools for software development.
  • Utilize Azure DevOps tools and services to continuously adapt to the market.
  • Build enterprise applications and evaluate current development processes upon Azure DevOps solutions.
  • Manage teams more efficiently and accelerate software deployment time.
  • Adopt DevOps development practices within the organization.
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Azure Machine Learning

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis. By the end of this training, participants will be able to:
  • Build machine learning models with zero programming experience.
  • Create predictive algorithms with Azure Machine Learning.
  • Deploy production ready machine learning algorithms.
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Azure Cloud Security

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at security administrators who wish to secure Azure workloads. By the end of this training, participants will be able to:
  • Administrate host security, network security, and more.
  • Set up storage and database security in Azure.
  • Implement security monitoring using Azure resources.
  • Prevent malicious cyber attacks on data and infrastructures.
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Developing Intelligent Bots with Azure

 14 Hours
The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to:
  • Learn the fundamentals of intelligent bots
  • Learn how to create intelligent bots using cloud applications
  • Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
  • Understand how to design bots using bot patterns
  • Develop their first intelligent bot using Microsoft Azure
Audience
  • Developers
  • Hobbyists
  • Engineers
  • IT Professionals
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Migrate Open Source Data Workloads to Azure (authorized training course DP 070T00)

 7 Hours
About This Course This course will enable the students to understand Azure SQL Database, and educate the students on what is required to migrate MySQL and PostgreSQL workloads to Azure SQL Database. Audience Profile The primary audience for this course is database developers who plan to migrate their MySQL or Postgres DB workloads to Azure SQL DB. The secondary audience for this course is MySQL/Postgres administrators to raise awareness of the features and benefits of Azure SQL DB. At Course Completion At the end of this course, the students will have learned:
  • Migrate on-premises MySQL to Azure SQL DB for MySQL
  • Migrate on-premises PostgreSQL to Azure SQL DB for PostgreSQL
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DP 900: Microsoft Azure Data Fundamentals (authorized training course)

 7 Hours
About This Course In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together. Audience Profile The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. At Course Completion After completing this course, students will be able to:
  • Describe core data concepts in Azure
  • Explain concepts of relational data in Azure
  • Explain concepts of non-relational data in Azure
  • Identify components of a modern data warehouse in Azure
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Programming for IoT with Azure

 14 Hours
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects. In this instructor-led, live training, participants will learn how to develop IoT applications using Azure. By the end of this training, participants will be able to:
  • Understand the fundamentals of IoT architecture
  • Install and configure Azure IoT Suite
  • Learn the benefits of using Azure in programming IoT systems
  • Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
  • Build, test, deploy, and troubleshoot an IoT system using Azure
Audience
  • Developers
  • Engineers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Kubeflow on Azure

 28 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud. By the end of this training, participants will be able to:
  • Install and configure Kubernetes, Kubeflow and other needed software on Azure.
  • Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
  • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
  • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
  • Leverage other AWS managed services to extend an ML application.
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MLOps for Azure Machine Learning

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at machine learning engineers who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices. By the end of this training, participants will be able to:
  • Build reproducible workflows and machine learning models.
  • Manage the machine learning lifecycle.
  • Track and report model version history, assets, and more.
  • Deploy production ready machine learning models anywhere.
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AI-900T00: Microsoft Azure AI Fundamentals

 7 Hours
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
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Windows Server 2019 Hybrid and Azure IaaS (authorized training course WS 012T00)

21 Hours
This three-day course is intended primarily for IT Professionals who have experience with managing an on-premises Windows Server environment. Its purpose is to prepare professionals for planning, implementing, and managing environments that include Azure IaaS-hosted Windows Server-based workloads. The course covers how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to manage and secure Azure VMs running Windows Server 2019.
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Cloud Infrastructure and Services

 35 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at IT architects and IT consultants who wish to employ the best practices for cloud infrastructure and services. By the end of this training, participants will be able to:
  • Leverage cloud infrastructure and services for business implementation.
  • Apply advanced cloud security with Cloud Security Alliance standards.
  • Migrate legacy systems into the cloud using SOA and Paas synergy.
  • Automate on demand resource provisioning for asynchronous cloud services.
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Hyperledger Fabric for Beginners

 7 Hours
This course has been designed for developers and project managers who would like to experiment with Blockchain in their products and projects. The course gives a basic know how on how to set up your own blockchain network using IBM Bluemix. Please note: Owing to limited learning options and everything already being pre-setup on Bluemix, it is used only for college students and in corporate cases we will be using AWS instance or virtual machines to setup the complete hyperledger fabric setup from scratch so as to accelerate the practical and handson knowledge absorption of the particpants.
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Developing for Cloud Foundry

 35 Hours
Cloud Foundry is the industry standard open-source platform as a service (PaaS) that provides you with a choice of clouds, developer frameworks, and application services. Audience This course is directed at engineers and developers who want to develop applications to be deployed through Cloud Foundry.
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Deploying Cloud Foundry

35 Hours
Cloud Foundry is the industry standard open-source platform as a service (PaaS) that provides you with a choice of clouds, developer frameworks, and application services. Audience This course is directed at engineers, architects and developers interested in deploying and maintaining Cloud Foundry as cloud infrastructure for their applications.
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Pivotal Cloud Foundry for Administrators

 28 Hours
Pivotal Cloud Foundry is a Pivotal branded installation of Cloud Foundry. It integrates services such as MySQL, Redis, ELK, RabbitMQ, etc.  with Cloud Foundry. In this instructor-led, live training, participants will learn how to set up and manage Pivotal Cloud Foundry. By the end of this training, participants will be able to:
  • Understand how Pivotal Cloud Foundry's relation to other cloud offerings (SaaS, PaaS to IaaS)
  • Install, configure and maintain an instance of Pivotal Cloud Foundry
  • Deploy a sample cloud application
  • Set up and manage users on Pivotal Cloud Foundry
  • Back up, restore and upgrade Pivotal Cloud Foundry
Audience
  • Administrators
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Pivotal Cloud Foundry for Developers

 21 Hours
Pivotal Cloud Foundry is a Pivotal branded installation of Cloud Foundry. It is a PaaS (Platform-as-a-Service) that integrates services such as MySQL, Redis, ELK, RabbitMQ, etc. with Cloud Foundry. In this instructor-led, live training, participants will learn how to  to deploy, manage, and scale applications on Pivotal Cloud Foundry. By the end of this training, participants will be able to:
  • Understand how Pivotal Cloud Foundry's relation to other cloud offerings (SaaS, PaaS to IaaS)
  • Deploy, manage and scale cloud native applications and services
  • Understand how Cloud Foundry fits into a microservice architecture
Audience
  • Developers
  • Administrators
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Amazon Redshift

 21 Hours
Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS. In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift. By the end of this training, participants will be able to:
  • Install and configure Amazon Redshift
  • Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
  • Developers
  • IT Professionals
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Amazon S3 Fundamentals

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.
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AWS Advanced Architecture

 28 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out. By the end of this training, participants will be able to:
  • Design complex cloud solutions on AWS.
  • Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
  • Integrate the most appropriate AWS services with an application.
  • Migrate a complex software application to AWS.
  • Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.
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AWS Architect Certification

 21 Hours
On demand AWS Architect Certification training course is designed to help professionals to become cloud-enabled using Amazon Web Services. This course is taught with real life examples, helps participants understand the practical application of concepts such as fundamentals of cloud computing, Amazon Web services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds and Cloud programming. After this course participants will be able to have their own implementations on cloud using EC2 instances, S3 buckets etc.
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Amazon Web Services (AWS) CodePipeline

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures. By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.
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AWS DevOps Engineers

 21 Hours
Audience: Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators Course Objectives: This course is designed to teach you how to:
  • Use the principal concepts and practices behind the DevOps methodology
  • Design and implement an infrastructure on AWS that supports one or more DevOps development projects
  • Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
  • Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
  • Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
  • Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
  • Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
  • Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues
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AWS Developer Associate

 28 Hours
This 4 day course will provide: 
  • An understanding of the Core AWS services, uses, and basic architecture best practices.
  • Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
  • Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.
Audience:Cloud engineers, Centre of excellence team,  Window server administrators, Unix/Linux administrator, Storage administrators, Network administrators , Virtualization administrators.On Completion of this training programme participants should able to deploy and use AWS services from a Developer standpoint.
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Amazon ECS (AWS ECS)

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploying and scaling containerized applications. By the end of this training, participants will be able to:
  • Create a containerized application running on Amazon ECS.
  • Understand how ECS Clusters and the ECS Agent work.
  • Auto Scale a Containerized Application
  • Automate the Deployment Process
  • Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
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Amazon EKS (AWS EKS)

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters. By the end of this training, participants will be able to:
  • Set up an EKS based Kubernetes cluster.
  • Create and run a containerized application on Amazon EKS.
  • Auto-scale a Containerized Application
  • Automate the Deployment Process
  • Integrate EKS based applications with a new or existing Continuous Integration workflow.
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Core Hybrid Cloud Functionalities with AWS Outposts

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers, developers, and administrative IT personnel who wish to optimize their organization's data center and workflows using the fully supported system of AWS Outposts. By the end of this training, participants will be able to:
  • Evaluate and prepare the on-premise environment for AWS Outposts setup and installation.
  • Configure an Outpost based on the suitable memory and storage options for the enterprise.
  • Adjust to AWS cloud architecture and familiarize with the interface of AWS Outposts.
  • Utilize the primary tools and features of an Outpost for big data processing and development implementations.
  • Execute more flexible and seamless management methods within the organization.
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AWS: A Hands-on Introduction to Cloud Computing

 7 Hours
This instructor-led, live training in Lublin provides an overview of AWS products, services and solutions. It is aimed at individuals and teams who are:
  • evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
  • evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.
By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.
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Amazon Web Services (AWS) RoboMaker

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices. By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.
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Amazon Web Services (AWS) SageMaker

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at data scientists and developers who wish to create and train machine learning models for deployment into production-ready hosting environments. By the end of this training, participants will be able to:
  • Use notebook instances to prepare and upload data for training.
  • Train machine learning models using training datasets.
  • Deploy trained models to an endpoint to create predictions.
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AWS Technical Essentials

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at technical persons who wish to understand AWS products and services so as to make an informed decision about how to implement AWS cloud solutions within their organization. By the end of this training, participants will be able to:
  • Identify and understand the role of each of the services offered by AWS.
  • Understand the terminology and concepts related to AWS.
  • Navigate the AWS Management Console.
  • Set up and manage team user accounts securely.
  • Match AWS's services to an organization's problem and requirements.
  • Make informed decisions about which AWS services to implement.
  • Plan out a broad cloud solution strategy for an organization.
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Creating a CDN with Amazon CloudFront

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to accelerate the performance of their website or web application by way of an Amazon CloudFront CDN (content delivery network). By the end of this training, participants will be able to:
  • Setup the appropriate AWS account to access CloudFront.
  • Cache media content such as video and audio near consumers to reduce latency and increase download speed.
  • Cache frequently accessed static content such as website images and downloadable software.
  • Cache dynamic, streaming, and interactive content to improve the customer experience.
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Kubeflow on AWS

 28 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server. By the end of this training, participants will be able to:
  • Install and configure Kubernetes, Kubeflow and other needed software on AWS.
  • Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
  • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
  • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
  • Leverage other AWS managed services to extend an ML application.
Read more...

Cloud, SaaS, IaaS - Practical Overview of Available Options

 35 Hours
This course is created for people who face choices which solution to choose for a specific problem. IT Managers, Solution Architects, Test Managers, System Administrators and Developers can benefit from this course by understanding the benefits and costs of available Cloud/SaaS/Iaas solutions.
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Mirantis OpenStack for Kubernetes

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at DevOps engineers and developers who wish to deploy and manage OpenStack services on cloud infrastructures using Kubernetes. By the end of this training, participants will be able to:
  • Deploy, configure, and manage MOS and its components.
  • Access OpenStack APIs.
  • Perform common OpenStack operations tasks (backup, restore, etc.).
  • Upgrade OpenStack deployments.
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OpenStack for Telecom

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure. By the end of this training, participants will be able to:
  • Plan, deploy, and administer OpenStack as a private cloud.
  • Understand IaaS architecture and its implementation under OpenStack.
  • Replace physical routers and servers with virtual machines running in a private cloud.
  • Reduce infrastructure and maintenance costs through virtualization and cloud computing.
  • Expedite the rollout of new services to customers.
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Create OpenStack cloud infrastructure

 14 Hours
The course helps to understand and implement cloud infrastructure based on OpenStack. The participant learns the architecture and capabilities of OpenStack and a variety of installation scenarios.
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OpenStack Architecture Design

 14 Hours
The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud. Course goal:
  • gaining expert knowledge regarding OpenStack architecture design
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Introduction to Cloud Computing and OpenStack - overview course

 7 Hours
The course is dedicated to IT engineers and architects who are looking for a solution to host private or public IaaS (Infrastructure as a Service) cloud via OpenStack.
This is also great opportunity for IT managers to gain knowledge overview about possibilities which could be enabled by OpenStack. Before you decide on OpenStack implementation by yourself, further investigation on the topic or hireing a 3rd party for the implementation, you could consider all pros and cons by attending on our course.
This topic is also avaliable as individual consultancy. Course goal:
  • understand how Public Cloud differs from Private Cloud in the offering and management
  • gaining basic knowledge regarding OpenStack
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Google Anthos for Hybrid and Multi-Cloud Computing

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure. By the end of this training, participants will be able to:
  • Set up Google Anthos on-premise or in the cloud.
  • Define, automate, and enforce policies across different environments.
  • Manage traffic between services.
  • Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
  • Implement security controls across all deployments.
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Cloud computing essentials for managers / software engineers

21 Hours
Audience Software Engineer/Computer Scientists with adequate concepts of algorithms and
familiarity with at least one programming/scripting language but without any experience of Cloud
Computing Duration 3 days (7 hours / day)
 
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Cloud Architect

 35 Hours
Day 1 - provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business. The module is divided into a series of sections, each of which is accompanied by a hands-on exercise. Day 2 - explores technology-related topics that relate to cloud computing platforms. It does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and data processing. Day 3 - provides a technical insight into foundational cloud computing platforms. Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) environments are explored as compound patterns, comprised of unique and shared building blocks. This module is structured as a guided tour through these architectural layers, describing primary components, highlighting shared components and explaining how building blocks can be assembled and implemented via cloud computing mechanisms and practices Day 4 - builds upon Day 3 to provide a deep dive into elastic, resilient and multitenant technology architectures, as well as specialized solution architectures, such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies and design patterns, both core and extended components are described that combine to realize elasticity, resiliency and multitenancy as primary characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related feature-sets, specialized solution architectures are described to enable bursting between clouds and on-premise and cloud environments, as well as the balancing of runtime loads across clouds for performance and failover purposes. Day 5 - presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered previously.
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Cloud Computing Overview

 7 Hours
This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.
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It is all about Cloud: Key Concepts, Players, and Technologies

 21 Hours
Audience IT architects, mid-level IT managers, IT consultants Format of the course Currently 100% lectures.
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Data Analytics Process, Cloud Solutions, and Power BI Solutions

 35 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data. By the end of this training, participants will be able to:
  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.
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Getting Started with Consul

 7 Hours
HashiCorp is an open-source software company that provides tools for provisioning, securing and running infrastructure for distributed applications. Their DevOps suite includes:
  • Vault - for securing distributed applications
  • Terraform - for provisioning infrastructure and application resources across public cloud, private cloud, and external services
  • Nomad - a distributed, highly available, datacenter-aware cluster manager and scheduler for deploying applications on any infrastructure, at any scale.
  • Consul - for discovering and configuring services in your infrastructure.
This course focuses on Consul. We go over the Consul's architecture and features and carry out a live implementation and deployment of a Consul server.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice and implementation, occasional quizzing to measure progress
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CITRIX Virtual Apps and Desktops 7 Administration On-Premises And In CITRIX Cloud

 35 Hours
  • Gain foundational knowledge of Citrix Virtual Apps and Desktops 7 
  • How to install, configure, and manage a Citrix Virtual Apps and Desktops 7 site and Cloud connectors
  • Identify the considerations between Citrix Virtual Apps and Desktops on-premises and the Citrix Virtual Apps and Desktops Service
  • How to deliver app and desktop resources
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FinOps

 7 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud. By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.
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Google Workspace (G Suite) for Administration

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at system administrators who wish to manage and deploy G Suite for organizations. By the end of this training, participants will be able to:
  • Apply Google security practices with 2SV and SSO.
  • Monitor domain and services usage through reports in the Admin Console.
  • Set up and configure a G Suite Admin Console.
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MinIO Cloud Storage Stack

 14 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO. By the end of this training, participants will be able to:
  • Provide an alternative to Unix Commands with the MinIO Client.
  • Use MinIO to build high performance infrastructures for machine learning, analytics, and more.
  • Deploy MinIO on Kubernetes for orchestrated deployment to scale.
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Multicloud Computing with Morpheus

 21 Hours
Multicloud (multi-cloud) Computing refers to the use of cloud services from multiple providers, for example, using infrastructure (Iaas) services from different providers simultaneously, through a single management console. Morpheus is a Cloud Application Management Platform for managing applications across multiple clouds as well as orchestrating cloud resources themselves. In this instructor-led, live training, participants will learn set up, configure and manage Morpheus. By the end of this training, participants will be able to:
  • Install and configure Morpheus
  • Provision cloud resources across different infrastructures
  • Orchestrate and manage clouds, including logging, monitoring and backups
  • Migrate applications from on-premise to private or public clouds
  • Integrate Morpheus with third-party tools such as Ansible, Chef, Consul, and others
Audience
  • Administrators
  • Developers
  • DevOps Engineers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Open Telemetry

 14 Hours
OpenTelemetry is a set of APIs, SDKs, and tools for instrumenting, generating, collecting, and exporting telemetry data (metrics, logs, and traces) to analyze the performance and health of applications. It is an open-source project designed to provide a unified and vendor-neutral way to observe system
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Pulumi - Infrastructure as Code

 21 Hours
This instructor-led, live training in Lublin (online or onsite) is aimed at engineers who wish to deploy software applications to any of a number of environments, from traditional infrastructure, to Kubernetes clusters or serverless functions. By the end of this training, participants will be able to:
  • Install and configure Pulumi.
  • Declare cloud infrastructure using programming languages.
  • Use Pulumi to deploy software using VMs, networks, and databases, as well as Kubernetes clusters and serverless functions.
  • Deploy software to public, private, and hybrid cloud service infrastructures.
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Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」

 4 Hours
Summery:
  • Basics of IoT architecture and functions
  • “Things”, “Sensors”, Internet and the mapping between business functions of IoT
  • Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
  • IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
  • Basics of IoT device communication with cloud with MQTT.
  • Connecting IoT devices to AWS with MQTT (AWS IoT Core).
  • Connecting AWS IoT core with AWS Lambda function for computation and data storage.
  • Connecting Raspberry PI with AWS IoT core and simple data communication.
  • Alerts and events
  • Sensor calibration
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OpenStack Security

 14 Hours
The course is providing practical knowledge on OpenStack and private cloud security. It starts from the introduction to the system, then the participants are getting practical knowledge on security in private clouds and securing OpenStack installation. During the course, each of the core OpenStack modules is presented, participants are building up virtual identity, image, network, compute and storage resources while discussing relevant security topics. Each participant is getting their own training environment with a complete OpenStack installation based on selected cloud architecture (eg. storage, networking). The training could be highly customized based on the needs of the client. Customization options
The training can be contracted to 2 days, focusing on core aspects relevant for the customer. The training can be also extended regarding administrative, design, networking and/or troubleshooting topics concerning OpenStack deployments
 
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Microsoft Azure Infrastructure and Deployment

 35 Hours
Microsoft Azure Infrastructure and Deployment
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Testimonials (25)

training is perfect but for the future i think that any arguments such as "terraform state managing" can be approached

paolo - Fastweb
Course - Advanced Terraform

video recording is made available to participants so that we can playback later.

Tan Lai Hock - GOVERNMENT TECHNOLOGY AGENCY
Course - Terraform Fundamentals for Beginners

The general topic itself

- Verizon Connect
Course - Amazon Redshift

the instructor :)

Jakub - Elsta sp. z o.o.
Course - AZ-900T00 Microsoft Azure Fundamentals

It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.

Arturo Sánchez - INAIT SA
Course - Microsoft Azure Infrastructure and Deployment

Hands on was great - good mix between hands on and presentations

Karl
Course - Terraform for Managing Cloud Infrastructure

Assimilable form of classes

Marek - Uniwersytet Szczeciński
Course - AZ-104T00-A: Microsoft Azure Administrator

It's a pity that some time was lost due to problems with virt machines on day 1.

Przemek - EduBroker Sp z oo

Machine Translated

Doskonała wiedza i niezwykła umiejętność przekazywania jej kursantom. Duża dokładność i szczegółowość omawianych tematów na szkoleniu, która znacząca ułatwia zrozumienie przekazywanej wiedzy.

Łukasz - DTP Sp. z o.o.
Course - AZ-400T00-A: Designing and Implementing Microsoft DevOps solutions

The course, Trainer

Novat Adam - Tanzania Revenue Authority
Course - Architecting Microsoft Azure Solutions

Examples, relaxed atmosphere, ...

Marek - Uniwersytet Szczeciński
Course - AZ-040T00: Automating Administration with PowerShell

Otwartosc oraz duza wiedza prowadzacego, nie ukrywam, ze tym jeszcze bardziej zachecil mnie do zglebienia tematu

Gabriel Polak - Sii Sp. z o.o.
Course - Kubernetes on Azure (AKS)

The details and the presentation style.

Cristian Mititean - Accenture Industrial SS
Course - Azure Machine Learning (AML)

Praca w trybie pomodoro się sprawdziła. Bardzo przyjazny i otwarty prowadzący z dużą wiedzą. Bardzo starał się, żeby każdy nadążał za materiałem i odpowiadał rzeczowo na każde pytanie. Rozwiązywanie realnych problemów, przykłady sytuacji w praktyce i jak sobie z nimi radzić. Super szkolenie i prowadzący.

Łukasz Jędral - Horus sp. z o.o.
Course - Terraform on GCP (Google Cloud Platform)

That we could do everything in practice by ourselves. That our trainer had extensive knowledge and we could ask him anything and he always had the answer. That I got some skills that are useful for developers.

Julia Gajtkowska - Demant Business Services Poland
Course - Azure DevOps Fundamentals

wstawki z podstaw azure

jfsdklfjl jsdaklfjdsklf
Course - Developing solutions for Microsoft Azure (authorized training course AZ 204T00)

very friendly and helpful

Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)

I enjoyed the relaxed mood. Also there was a very good balance between theoretical presentation and practical side.

Calin Berariu - Continental Automotive Romania SRL
Course - Programming for IoT with Azure

Ilość informacji, ćwicenia

Łukasz Kowalski - Sii Sp. z o.o.
Course - AWS IoT Core

The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.

Rafał Kucharski - The Software House sp. z o.o.
Course - Serverless Framework for Developers

Free atmosphere and agenda flexibility

Marcin Prewo - GE Medical Systems Polska Sp. Z O.O.
Course - AWS Lambda for Developers

IOT applications

Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」

Wszystko co miało teoretyczny wstęp, a następnie pokrycie poprzez przykład. Podobało mi się że jak prowadzący czegoś nie wiedział (np. odpowiedzi na pytanie), to mówił że nie wie, ale sprawdzi w przerwie i wróci do tego. Najbardziej podobał mi się przykład z wykorzystaniem SNS, Lambd, Dynamo, EC2 i API Gateaway - konkretna zastosowanie i integracja serwisów pomiędzy sobą.

Marcel Kończyk - NetworkedAssets Sp. z o.o.
Course - AWS CloudFormation

Wiedza trenera była imponująca.

Piotr Masłowski - ING Bank Śląski S.A.
Course - Hyperledger Fabric for Beginners

Jorge tries his best to help with our environment setups and other things we want to try.

JIMMY CHUN MING CHAN - THALES TRANSPORT & SECURITY (HONG-KONG) LIMITED
Course - Developing for Cloud Foundry

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