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.

117 min
Content
About
AI Agent Intro
Prompt Engineering 101
Control Response Formats
Zooming Out
Agent Setup
Introduction to ReAct prompting
Build action functions
Write ReAct prompt - part 1 - planning
ReAct Agent - part 2 - ReAct prompt
ReAct Agent - part 3 - how does the "loop" work?
ReAct Agent - part 4 - code setup
ReAct Agent - part 5 - Plan for parsing the response
ReAct Agent - part 6 - Parsing the Action
ReAct Agent - part 7 - Calling the function
ReAct Agent - part 8 - Housekeeping
ReAct Agent - part 9 - Finally! The loop!
OpenAI Functions Agent - part 1 - Intro
OpenAI Functions Agent - part 2 - Demo day
OpenAI Functions Agent - part 3 - Tools
OpenAI Functions Agent - Part 4 - Loop Logic
OpenAI Functions Agent - Part 5 - Setup Challenge
OpenAI Functions Agent - Part 6 - Tool Calls
OpenAI Functions Agent - Part 7 - Pushing to messages
OpenAI Functions Agent - Part 8 - Adding arguments
OpenAI Functions Agent - Part 9 - Automatic function calls
Adding UI to agent - proof of concept
Solo Project - AI Travel Agent
Nice work!
Certificate of Completion