In this episode of the Colaberry AI Podcast, we dive into the "ai-agents-for-beginners" GitHub repository from Microsoft, which offers a comprehensive 11-lesson course on building AI agents.
Designed for beginners, this multi-lingual resource provides a step-by-step guide to creating intelligent software agents, leveraging Microsoft's Azure AI Foundry, GitHub Models, and frameworks like Semantic Kernel and AutoGen. Each lesson includes written content, video walkthroughs, and additional learning materials, covering topics ranging from an introduction to AI agents to advanced design patterns and deployment strategies. We'll explore the breadth of this educational resource, highlight community contributions, and discuss how it can help aspiring AI developers kickstart their journey in building powerful, autonomous software agents.
๐ฏ Key Takeaways:
๐ง Beginner-Friendly Curriculum: 11 lessons covering fundamental to advanced AI agent development
๐ Multi-Lingual Approach: Content available in multiple languages for global accessibility
๐ ๏ธ Microsoft AI Tools: Utilizes Azure AI Foundry, GitHub Models, and frameworks like Semantic Kernel and AutoGen
๐ฅ Video Walkthroughs: Augments written content with step-by-step video demonstrations
๐ค Community Contributions: Encourages feedback and additional resources from the community
๐งพ Ref: Building AI Agents: A Beginner's Course
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