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Learn AI Agents

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Details

Go to class

Provider

Scrimba
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

1 hour 57 minutes
Sessions

On-Demand
Level

Intermediate

Found in

Overview

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

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!

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