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Microsoft AI Agent Introductory Course Catalog

Introduction to Microsoft AI Agent Introductory Course-1

 

A 10-session course that teaches everything you need to know to get started building an AI Agent.

This 10-lesson course covers the basics of building an AI Agent. Each lesson covers a separate topic, so start wherever you like!


If this is your first build with generative AI models, check out the Generative AI For Beginners course, which contains 21 lessons on building with GenAI. It's worth noting that Microsoft seems to be actively promoting its generative AI technology by offering multiple learning paths for beginners. This introductory AI Agent course is likely part of its broader AI education strategy.

What do you need?

Each lesson in this course contains code samples that can be found in the code_samples folder to find it. You can fork this repo to create your own copy.

The code examples in these exercises utilize Azure AI Foundry and the GitHub Model Catalogs to interact with the language model:

This course also uses the following AI Agent frameworks and services provided by Microsoft:

  • Azure AI Agent Service
  • Semantic Kernel
  • AutoGen

For more information on running this course code, visit Course Settings. This course from Microsoft seems to be deeply integrated with its own Azure cloud services and GitHub platform. This could be a good option for developers looking to dive deeper into the Microsoft AI ecosystem. However, for beginners who are more inclined to be platform-neutral, they may want to be aware of the focus of the course content.

 

🙏 Want to help?

Do you have suggestions or find spelling or code errors?Issue maybe Creating a pull request

If you're having trouble building an AI Agent or have any questions, please join the Azure AI Community DiscordThe Encouraging users to participate in the community and contribute is a common practice in open source projects and educational resources. Joining the Discord community can provide learners with timely help and a platform for communication.

 

📂 Each session includes

  • Written lessons located in the README (video will be available in March 2025)
  • Support for Azure AI Foundry and Github Models (Free) Python Code Samples
  • Links to additional resources to continue your learning The course content is presented in a variety of formats, including written material and code examples, and there are plans to add video content in the future. This demonstrates that the courses are designed with users with different learning preferences in mind. Providing support for Azure AI Foundry and GitHub Models again highlights the strong integration with the Microsoft ecosystem.

 

🗃️ Courses

academic program link (on a website)
AI Agent Introduction and Use Cases link (on a website)
Explore Agentic Framework link (on a website)
Understanding the Agentic Design Pattern link (on a website)
Tools using design patterns link (on a website)
Agentic RAG link (on a website)
Building a Trusted AI Agent link (on a website)
Planning and design model link (on a website)
Multi-Agent Design Patterns link (on a website)
Metacognition Design Pattern link (on a website)
AI Agent in a production environment link (on a website)

This "Getting Started with AI Agents" course from Microsoft is designed to help developers get up to speed on building AI Agents. The course covers everything from basic concepts to advanced design patterns and practical applications, and is deeply integrated with Microsoft services and platforms such as Azure and GitHub. This course is attractive to developers who want to build AI Agents using the Microsoft technology stack. However, learners need to be aware of the possible platform bias of the course content and make choices based on their own needs.

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