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AI agents represent the next phase of AI application development. This course teaches you to build reliable agents using frameworks like LangGraph and AutoGen, with deep focus on tool use, memory, planning, and failure handling. You’ll understand why most agent projects fail and how to build ones that don’t. The final project is a fully autonomous research agent.

✅ What’s Inside:

  1. Agent Architecture Fundamentals
  2. Tool Use and Function Calling
  3. Planning Loops: ReAct and Beyond
  4. Short-Term and Long-Term Memory
  5. Multi-Agent Orchestration
  6. Web and Search Tool Integration
  7. Code Execution Agents
  8. Error Recovery Strategies
  9. Evaluating Agent Performance
  10. Human-in-the-Loop Design
  11. Safety and Guardrails
  12. Project: Research Automation Agent