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Overview
The Learn AI Agents course introduces the fundamental concepts and practical applications of AI agents—autonomous entities that perceive their environment, make decisions, and act to achieve specific goals. This course is ideal for learners interested in understanding how intelligent agents operate within various domains such as robotics, gaming, virtual assistants, and automation. Participants will explore the architecture of AI agents, including types like reactive, deliberative, and hybrid agents. The course covers key components such as perception, reasoning, learning, and action, explaining...
Syllabus
- 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!
Instructor
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