CrewAI | Agentic AI Tutorial
This course is designed for AI enthusiasts who want hands-on experience building multi-agent AI systems. Through different use cases and practical exercises, you'll learn how modern AI teams work together to automate complex tasks in real business settings. You'll learn how to define agent roles with goals and backstories, understand task chaining with the context parameter, and master key CrewAI concepts such as Agents, Tasks, Crews, and Tools. The course covers building custom tools using BaseTool, configuring agents with YAML files, and integrating external tools like web search. You'll then build a multi-agent crew, apply advanced features like memory, tracing, and human-in-the-loop approvals, and run parallel tasks for efficiency. By the end, you'll have a complete hands-on exercise and a clear understanding of the full CrewAI development lifecycle, from agent definition to multi-agent orchestration.
Last Updated: Apr 7, 2026 11:44 PM
|English
Created by:
Dhaval PatelThis micro course includes:
- 01h:01m:45s on-demand videos
- 7 Lectures
- 1 Quiz (paid access)
- Access on any Device
- Certificate of completion (paid access)
Course Curriculum
7 Lectures | 01h:01m:45s
Course Instructor/Creator
Dhaval Patel
Data Entrepreneur (17+ Years),
YouTuber,
Ex - Bloomberg, NVIDIA
I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching.
Created by:
Dhaval PatelThis micro course includes:
- 01h:01m:45s on-demand videos
- 7 Lectures
- 1 Quiz (paid access)
- Access on any Device
- Certificate of completion (paid access)
Course Preview
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