AI Agents for Beginners

✨Key Features

• ▸Lesson Overview: Starts with intro to AI agents and use cases, explores frameworks and design patterns (e.g., Tool Use, Agentic RAG, Planning, Multi-Agent, Metacognition), trustworthiness, production considerations, agentic protocols (MCP, A2A, NLWeb), context engineering, and memory management; 4 lessons in progress (Computer Use Agents, Scalable Deployment, Local AI Agents, Security).
• ▸Hands-On Resources: Includes runnable Python code samples in the code_samples folder (fork to run); integrates with free tiers of Azure AI Foundry and GitHub Model Catalogs for practical experimentation.
• ▸Multi-Language & Accessibility: Automated translations in 40+ languages (e.g., Arabic, Chinese variants, French, German, Hindi, Japanese, Spanish, etc.) via GitHub Actions; prerequisites include basic Python (recommends Microsoft's Generative AI for Beginners course for GenAI novices).
• ▸Community Engagement: Azure AI Foundry Discord for questions and collaboration; GitHub for issues, pull requests, and contributions (CLA required); follows Microsoft Open Source Code of Conduct; special thanks to contributor Shivam Goyal for Agentic RAG samples.
• ▸Unique Selling Point: Part of Microsoft's broader beginner series (e.g., ML, Data Science, Copilot, Edge AI); emphasizes ethical, scalable AI agent building with real-world protocols and open-source ethos for developers at any level.