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AI Agents in Production

Course wrap-up

Lessons

  1. 1. The agent loop
  2. 2. Tool calling and function calling
  3. 3. The Model Context Protocol (MCP)
  4. 4. LangGraph fundamentals
  5. 5. State Management and Memory
  6. 6. Human-in-the-Loop
  7. 7. Error Handling and Resilience
  8. 8. Multi-Agent Architectures
  9. 9. Building a multi-agent system
  10. 10. Agent-to-Agent Protocol (A2A)
  11. 11. Planning and reasoning patterns
  12. 12. Agent evaluation
  13. 13. Guardrails and Safety
  14. 14. Observability and Debugging
  15. 15. Deploying Agents
  16. 16. Capstone — A Production Agent System
  17. Key takeaways
  18. How to get certified
  19. Your certificate

Your certificate

Certificates are issued to an account — it's what ties the credential to a name a reader can check. Sign in to see where you stand on AI Agents in Production.

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