1 Develop generative AI apps in Azure (brief recap, covered in-depth in course AI-3016)
Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models to chat with your users.
2 Develop AI agents on Azure (brief recap, covered in-depth in course AI-3026)
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
3 Develop natural language solutions in Azure (AI-3003)
Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications, and explore Azure AI Foundry to use generative models for speech.
4 Develop computer vision solutions in Azure (AI-3004)
Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI includes multiple services that support common computer vision scenarios.
5 Develop AI information extraction solutions in Azure (AI-3002)
Use Azure AI to extract information from content to support scenarios like:
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.
Before attending this course, students must have:
To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.
Consider completing the Get started with artificial intelligence learning path first.
This flexible training prepares you for:
The following workshops are integrated into this course:
The «flexible» live virtual course is scheduled over a period of 3-4 weeks. During this time, 6-8 instructor-led sessions of 3.5 hours each take place, i.e., the instructor supervises the participants live. All live sessions of a course will take place in the morning from 8:30 am - 12:00 pm (CET) or afternoon from 1:30 pm - 5:00 pm (CET). This time is indicated on the respective course as a total of 1-5 days.
By clicking on «Timetable» when enrolling, you can already see when the live sessions will take place. Of course, these sessions are recorded and therefore available for the class afterwards.
Everything takes place on one Microsoft Teams channel per class. The participants have access to all sessions and information within the class for the duration of the course.