Learn AI Agents

Learn how to build LLM-powered agents that can do multi-step reasoning and interact with its environment via functions and APIs.

• The Reason+Act paradigm
• OpenAI function calling
• Automatic function calls
• Prompt engineering 101
• Controlling response format
• Action functions
• Multi-step agents

• Learn AI Agents
• 1. AI Agent Intro
• 2. Prompt Engineering 101
• 3. Control Response Formats
• 4. Zooming Out
• 5. Agent Setup
• 6. Introduction to ReAct prompting
• 7. Build action functions
• 8. Write ReAct prompt - part 1 - planning
• 9. ReAct Agent - part 2 - ReAct prompt
• 10. ReAct Agent - part 3 - how does the "loop" work?
• 11. ReAct Agent - part 4 - code setup
• 12. ReAct Agent - part 5 - Plan for parsing the response
• 13. ReAct Agent - part 6 - Parsing the Action
• 14. ReAct Agent - part 7 - Calling the function
• 15. ReAct Agent - part 8 - Housekeeping
• 16. ReAct Agent - part 9 - Finally! The loop!
• 17. OpenAI Functions Agent - part 1 - Intro
• 18. OpenAI Functions Agent - part 2 - Demo day
• 19. OpenAI Functions Agent - part 3 - Tools
• 20. OpenAI Functions Agent - Part 4 - Loop Logic
• 21. OpenAI Functions Agent - Part 5 - Setup Challenge
• 22. OpenAI Functions Agent - Part 6 - Tool Calls
• 23. OpenAI Functions Agent - Part 7 - Pushing to messages
• 24. OpenAI Functions Agent - Part 8 - Adding arguments
• 25. OpenAI Functions Agent - Part 9 - Automatic function calls
• 26. Adding UI to agent - proof of concept
• 27. Solo Project - AI Travel Agent
• 28. Nice work!