Master AI agent development from fundamentals to production. Learn agent architectures (ReAct, Plan-and-Execute), tool use, agentic RAG, multi-agent systems, memory, safety guardrails, and protocols like MCP and A2A. Based on Microsoft's AI Agents for Beginners and GenAI Agents.
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Understand what AI agents are, how they differ from chatbots, and explore the major architectures and frameworks powering modern agentic systems.
Master the tool use design pattern — how LLMs call functions, how to build custom tools, and how to integrate web search, APIs, and databases.
Go beyond basic RAG with self-reflective, corrective, and adaptive retrieval strategies that give agents intelligent control over their knowledge retrieval.
Master the planning design pattern — how agents decompose tasks, reason about actions, execute plans, and correct course through reflection.
Design and build multi-agent systems where specialized agents collaborate through supervisor architectures, debate patterns, and orchestrated workflows.
Deploy agents to production with robust memory systems, context engineering, safety guardrails, and interoperability protocols like MCP and A2A.