What if your cloud could see, hear, speak, and reason — with enterprise-grade reliability? With Azure AI, it can.
Our instructor-led live courses explore how Microsoft’s powerful AI platform fuels real-world innovation — whether you're deploying multimodal agents through Azure OpenAI, building voice apps with Speech Services, or automating decisions using Cognitive Services and Azure Machine Learning.
Train online via an interactive remote desktop, or join live sessions in Zakopane — held onsite at your location or at a NobleProg training center — where labs simulate mission-critical AI pipelines at scale.
Also referred to as Microsoft Azure AI, Azure Cognitive Services, or Azure OpenAI, this training track helps professionals and teams design, deploy, and govern intelligent applications — securely, responsibly, and at cloud speed.
NobleProg – Your Local Training Provider
Zakopane
Dafne, Jagiellońska 30, Zakopane, Poland, 34-500
The training room is located just 350 meters from the railway and bus stations and 700 meters from Krupówki, the main shopping street in Zakopane. There is a fenced parking area on the premises, providing convenience for participants traveling by car and facilitating access to the facility.
Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.
By the end of this training, participants will be able to:
Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
Prepare data, train, test, and evaluate models with appropriate validation metrics.
Register, package, and deploy models reliably to managed endpoints.
Integrate Azure OpenAI models and Azure AI Search into applications using best practices.
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.
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.
This instructor-led, live training in Zakopane (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.
By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.
This instructor-led, live training in Zakopane (online or onsite) is aimed at intermediate-level developers and technical professionals who wish to use Azure OpenAI to build secure, useful, and scalable enterprise AI solutions.
By the end of this training, participants will be able to: explain Azure OpenAI capabilities, create effective prompts, connect AI applications to enterprise data, and apply security and responsible AI practices.
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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