Lilly Tech Systems
Learn CrewAI
Master the multi-agent framework for orchestrating collaborative AI workflows. Learn to create agents with roles, assign tasks, and build crews that work together — like a virtual team of AI specialists.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is CrewAI? Multi-agent systems explained, the crew metaphor, and comparison with other agent frameworks.
2. Installation & Setup
Install CrewAI, configure LLM providers, and build your first crew with two agents.
3. Agents & Roles
Define agents with roles, goals, backstories, LLM selection, and tool assignments.
4. Tasks
Create tasks with descriptions, expected outputs, context dependencies, and callbacks.
5. Crews
Orchestrate agents with sequential and hierarchical processes, memory, and crew configuration.
6. Best Practices
Real-world examples, debugging, cost control, production deployment, and common patterns.
What You'll Learn
By the end of this course, you'll be able to:
Design Agent Teams
Create specialized agents with distinct roles, goals, and backstories that collaborate on complex tasks.
Define Tasks
Write clear task descriptions with expected outputs, context dependencies, and quality controls.
Build Crews
Orchestrate multi-agent workflows with sequential and hierarchical process types for any use case.
Deploy to Production
Handle errors, manage costs, add memory, and build robust multi-agent systems for real-world applications.