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AWS Security Audit

21 godzin
AWS Security Audit is a process of reviewing the security configuration and practices of an AWS account and its resources. The purpose of an audit is to identify and address any potential vulnerabilities, risks, or gaps in compliance with security standards and best practices.This instructor-led, live training (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.
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 Financial Management for Builders

21 godzin
AWS Financial Management refers to the suite of tools and practices used to manage and optimize costs within the Amazon Web Services (AWS) cloud platform. This instructor-led, live training (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.
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 Cloud Security

21 godzin
AWS Cloud Security refers to the practices, tools, and policies designed to protect data, applications, and resources hosted on Amazon Web Services (AWS) cloud infrastructure. This instructor-led, live training (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.
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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Developing Serverless Solutions on AWS

21 godzin
Amazon Web Services (AWS) is a cloud computing platform by Amazon that provides different services on a global cloud infrastructure. Such platforms include AWS Lambda which allows users to build, deploy, and maintain applications without the need for provision servers. This instructor-led, live training (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.
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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Kubernetes on AWS

14 godzin
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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Docker and Kubernetes on AWS

21 godzin
There are a number of options for deploying Docker and Kubernetes on AWS, including Amazon Elastic Container Service, Amazon ECS for Kubernetes, AWS Fargate, and Amazon EC2. This instructor-led, live training (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decision 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 tools 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.
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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Amazon Redshift

21 godzin
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 godzin
Amazon S3 (also known as Amazon Simple Storage Service) is a cloud-based, NoSQL, key-value storage system on AWS. This instructor-led, live training (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. 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 Advanced Architecture

28 godzin
AWS Advanced Architecture refers to the design, setup and deployment of enterprise infrastructure and applications on AWS. This instructor-led, live training (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.
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 Architect Certification

21 godzin
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 godzin
Amazon Web Services (AWS) CodePipeline is a delivery service that developers can use to automate software release processes. CodePipeline helps in managing and configuring the continuous changes in different software release stages. This instructor-led, live training (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. 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 DevOps Engineers

21 godzin
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 godzin
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 godzin
Amazon Elastic Container Service (Amazon ECS or AWS ECS) is a container orchestration service for running containerized applications on AWS. This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploy and scale 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.
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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Amazon EKS (AWS EKS)

14 godzin
Amazon Elastic Container Service for Kubernetes (Amazon EKS, or AWS EKS) is a service for running Kubernetes on AWS without having to install and operate Kubernetes yourself. This instructor-led, live training (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.
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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Core Hybrid Cloud Functionalities with AWS Outposts

21 godzin
AWS Outposts is a hybrid cloud solution that extends the infrastructure of Amazon Web Services to on-premise environments. What sets it apart from other hybrid designs is the integration of both its own local database services and public cloud resources. AWS Outposts, along with its native tools and features, helps its users achieve low-latency and secure data processing that accommodates modern enterprise applications. This instructor-led, live training (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.
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: A Hands-on Introduction to Cloud Computing

7 godzin
This instructor-led, live training 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.
Format of the Course
  • The training will be interactive and includes hands-on lab activities and live implementation.
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Amazon Web Services (AWS) RoboMaker

21 godzin
Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services. This instructor-led, live training (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. 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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Amazon Web Services (AWS) SageMaker

21 godzin
Amazon Web Services (AWS) SageMaker is a cloud machine learning service that lets developers build, train, and deploy machine learning models quickly at any scale. This instructor-led, live training (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.
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 Technical Essentials

7 godzin
AWS Technical Essentials refers to the foundational concepts behind cloud computing, storage, and networking on AWS. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to understand AWS products and services 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.
  • 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.
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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Creating a CDN with Amazon CloudFront

14 godzin
Amazon CloudFront is a CDN (content delivery network) service in AWS. It consists of a globally-distributed network of proxy servers that cache content to improve the download speed for users in different locations. This instructor-led, live training (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.
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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Kubeflow on AWS

28 godzin
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is a machine learning library and Kubernetes is an orchestration platform for managing containerized applications. This instructor-led, live training (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.
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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Terraform on AWS

21 godzin
Amazon Web Services (AWS) provides infrastructure for building applications in the cloud. Terraform, created by Hashicorp, is a tool for managing that infrastructure. The combination of AWS and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable. This instructor-led, live training (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.
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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Advanced AWS Lambda

14 godzin
AWS Lambda is a compute service that allows developers to write and run code without having to spin up containers and virtual machines, maintain storage, or procure the resources for running the code at scale. This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also 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 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 an AWS Lambda application.
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 Lambda for Developers

14 godzin
AWS Lambda is a "serverless" computing platform that allows engineers to create a small function, configure it in AWS console, and execute it without needing to provision servers—paying only for the resources used during the execution. This instructor-led, live training (online or onsite) 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.
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.
  • To learn more about AWS Lambda, please visit: https://docs.aws.amazon.com/lamda
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Tworzenie rozwiązań IoT z wykorzystaniem Amazon Web Services

28 godzin
Szkolenie "Tworzenie rozwiązań IoT z wykorzystaniem Amazon Web Services" skupia się na prezentacji usług AWS w kontekście tworzenia rozwiązań IoT. Uczestnicy zdobędą umiejętności korzystania z konsoli zarządzania, narzędzia AWS CLI, oraz poznają architekturę AWS. Kurs obejmuje omówienie usługi AWS IoT Core, definiowanie urządzeń, generowanie certyfikatów, i nawiązywanie bezpiecznej komunikacji. Dodatkowo uczestnicy dowiedzą się, jak zintegrować IoT Core z różnymi usługami AWS, w tym SNS, SQS, DynamoDB, S3, API Gateway, AWS Lambda, a także jak integrować IoT z usługami sztucznej inteligencji, takimi jak Rekognition i Textract.
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AWS IoT Core

14 godzin
This instructor-led, live training (online or onsite) 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. Format of the course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • Exercises will be based on any of a number of languages and SDKs supported by AWS IoT (C, Java, JavaScript, Python, Arduino Yún, iOS, Android, etc.). To request a specific language or SDK, please contact us to arrange.
  • To learn more about AWS IoT Core, please visit: https://aws.amazon.com/iot-core/
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Amazon Web Services (AWS) IoT Greengrass

21 godzin
Amazon Web Services (AWS) Greengrass is an open source, cloud service that helps users create and deploy Internet of Things (IoT) applications on devices in homes, cars, hospitals, businesses, and more. AWS IoT Greengrass provides local compute, messaging, sync, data management, and machine learning inference capabilities to edge devices in a secure and cost-efficient way. This instructor-led, live training (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. 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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Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「8 Hours Remote」

8 godzin
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 Amazon Web Services (AWS) CloudFormation

7 godzin
Amazon Web Services (AWS) CloudFormation is a service that simplifies infrastructure management by treating infrastructures as code. CloudFormation templates can be used to manage and provision AWS resources. This instructor-led, live training (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.
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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Last Updated:



Opinie uczestników(28)

The general topic itself

- Verizon Connect
Szkolenie - Amazon Redshift

Trainer had good grasp of concepts

Josheel - Verizon Connect
Szkolenie - Amazon Redshift

Showing the different features of AWS and help the audience in case something doesn't work properly.

Issam IEBOUBEN - HSBC Service Delivery (Polska) Sp. z o o.
Szkolenie - AWS Architect Certification

Despite the 2 days, trainer has performed well. I personally thanks to him.

Baris Aydogmusoglu - HSBC Service Delivery (Polska) Sp. z o o.
Szkolenie - AWS Architect Certification

Since I am from network security the tropic interested me are network configuration and security management .As mentioned earlier 16 hours is not enough to cover all the topics, but the training is planned in such a way to provide an overview of how the cloud works .

Sanjith Cherian - HSBC Service Delivery (Polska) Sp. z o o.
Szkolenie - AWS Architect Certification

I really liked the training. It was very informative and clear explanation of all topics during whole training

Venkatesh Varanasi - HSBC Service Delivery (Polska) Sp. z o o.
Szkolenie - AWS Architect Certification

Training is good but require more time to practice test

Manu Megaravalli - HSBC Service Delivery (Polska) Sp. z o o.
Szkolenie - AWS Architect Certification

The docker ready-to-use environment image. The balance between lectures and exercises.

Aurélien Petit - Prostep sp. z o. o.
Szkolenie - AWS DevOps Engineers

The trainer knew exactly what they were speaking about.

Madumetsa Msomi - BMW
Szkolenie - AWS DevOps Engineers

Sounds knowledgeable, and interacts with his leaners

Shuko Ndhlovu - BMW
Szkolenie - AWS Developer Associate

Dobry kontakt, wiedza prowadzącego

Jakub Polański - Inwebit sp. z o.o.
Szkolenie - AWS Developer Associate

Bardzo praktyczne przedstawianie zagadnień i dużo czasu by spokojnie wszystko pokonfigurować. Również dużo dodatkowych materiałów na plus.

Paweł Burchard - Inwebit sp. z o.o.
Szkolenie - AWS Developer Associate

Widać było, że trener ma duże doświadczenie (nie tylko teoretyczne ale też praktyczne)

Arkadiusz Powęska - Inwebit sp. z o.o.
Szkolenie - AWS Developer Associate

Hands-on experience z usługami AWS

Jakub Wojtaś - NetworkedAssets Sp. z o.o.
Szkolenie - AWS Developer Associate

Podobało mi się, jak dobrze zorganizowany był trener, a także jak dobrze materiał był ustrukturyzowany i przedstawiony.

Ana - Ness Digital Engineering
Szkolenie - AWS: A Hands-on Introduction to Cloud Computing

Przetłumaczone przez sztuczną inteligencję

Łatwy do naśladowania i zrozumienia

Alexia - Ness Digital Engineering
Szkolenie - AWS: A Hands-on Introduction to Cloud Computing

Przetłumaczone przez sztuczną inteligencję

The trainer is very well prepared, you have enough time to finish each assignment. Among the best trainings I have attended.

Ana - Ness Digital Engineering
Szkolenie - AWS Technical Essentials

Concepts learnt and how to set up the k8 clusters

Sekgwa Ramatshosa - Vodacom SA
Szkolenie - Kubernetes on AWS

The hand-on experience of EKS and CLI

Shawn Smith - Vodacom SA
Szkolenie - Kubernetes on AWS

Trochę szkoda, ze trochę czasu uciekło na problemy z maszynami virt 1 dnia.

Przemek - EduBroker Sp z oo
Szkolenie - Terraform on AWS

So in my mind, we walked out of those three days with the building blocks and knowledge to build just about anything in AWS with Terraform. Not only can we build it, but we can test it, and validate our terraform against best practices and setup pull requests hooks to validate code before allowing it to be checked in.

Bernard Quick - AWS, Inc.
Szkolenie - Terraform on AWS

Good knowledge of the subject and learned some fundamentals

Barry Halper - Department for Levelling Up, Housing and Communities
Szkolenie - Terraform on AWS

There were lots of hands on examples and the walkthroughs we carefully explained.

Jeffrey Ronay - Federal Reserve Bank of SF
Szkolenie - Terraform on AWS

Free atmosphere and agenda flexibility

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

All good, nothing to improve

Ievgen Vinchyk - GE Medical Systems Polska Sp. Z O.O.
Szkolenie - AWS Lambda for Developers

Ilość informacji, ćwicenia

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

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.
Szkolenie - AWS CloudFormation

później ten balans między teorią a praktyką był już znacznie lepszy. Ale początki były straszne. sposób wypowiadania się (język) bardzo spoko, zrozumiale, po ludzku

Łukasz Derkowski - NetworkedAssets Sp. z o.o.
Szkolenie - AWS CloudFormation

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Konsultacje

AWS Konsultacje
Szkolenie AWS, AWS (Amazon Web Services) boot camp, Szkolenia Zdalne AWS, szkolenie wieczorowe AWS, szkolenie weekendowe AWS, Kurs AWS,Kursy AWS (Amazon Web Services), Trener Amazon Web Services, instruktor AWS, kurs zdalny Amazon Web Services, edukacja zdalna AWS (Amazon Web Services), nauczanie wirtualne AWS (Amazon Web Services), lekcje UML, nauka przez internet AWS (Amazon Web Services), e-learning AWS, kurs online Amazon Web Services, wykładowca AWS
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