Part 3 - Code your first AI Agent | ReAct Agent | Master CrewAI Course

Book a 1:1 Call with me - https://topmate.io/akshitmadan

In this video, you'll build a ReAct-based AI agent from scratch using Python. The session walks through the ReAct loop — how an agent thinks (generates reasoning), acts (calls a tool), and observes (gets a response), then iterates. You'll learn how to define tools, structure prompts, and implement the reasoning-action-observation flow using simple control logic. This part lays the foundation for more advanced agent frameworks like CrewAI by helping you understand how tool-using agents actually work under the hood.

Tags: ReAct agent, Python coding, reasoning loop, tool use, LLM workflow, agent implementation, hands-on tutorial

You can follow this AI Engineer Path by Scrimba to master AI Engineering - https://scrimba.com/the-ai-engineer-p...

😎Follow me on Social Media -
Instagram- https://www.instagram.com/akshitmadan...
LinkedIn-   / akshit-madan-394a82a6  
Threads - https://www.threads.net/@akshitmadan_
Code (Github) - https://github.com/akmadan/learn_crewai

🔴Dart Course Playlist -    • Dart Language Fundamentals  

🔴AI Apps Projects Series -    • AI Apps in Flutter Playlist  

🔴All Flutter Projects -    • Плейлист  

🔴All Python Videos -    • Плейлист  

🔴Data Science Videos -    • Kaggle Datasets Analysis  

#crewai #ai #agents #llm #aiagents #course