What you'll learn

Build and orchestrate multi-agent AI workflows using CrewAI
Design agent roles like Supervisor, Researcher, and Action Handler
Use LLMs for decision-making and personalized task execution
Create tool-based actions for data retrieval and API interactions
Chain multiple agents together for dynamic collaboration
Customize agent prompts to guide behavior and output
If you're into AI that actually does stuff - not just talks about it - this byte-sized course is for you. You'll learn how to build AI agents that collaborate, delegate, and act using CrewAI's intuitive framework.
We'll start by defining roles for each agent, then connect them with tools and actions that allow them to fetch data, make decisions, and work together seamlessly. You'll move from setting up simple workflows to orchestrating full-blown AI systems.
By the end, you'll have a multi-agentic AI Job Interview Coach powered by CrewAI!
Why Build AI Agents with CrewAI?
CrewAI makes it ridiculously easy to build AI agents that think, collaborate, and take action.
With its role-based architecture, you can assign real responsibilities to each agent (think planner, researcher, executor, and more), plug-in tools like APIs or databases, and watch them work together to solve complex tasks.
It's flexible, Python-based, and perfect for turning your LLM ideas into fully functional, multi-agent workflows. That means whether you're building a fun side project or a full-blown business, CrewAI gives you the control, structure, and simplicity to make it happen fast.
Homepage:

https://zerotomastery.io/courses/learn-crewai-agents/