Multi AI Agent Systems with crewAI
by DeepLearning.AI × crewAI
Orchestrate teams of role-playing agents that collaborate on multi-step business tasks with crewAI.
Overview
Taught by crewAI founder João Moura, this course shows how to break a complex task across multiple specialized agents that delegate to and critique one another. You build crews for research, customer support, and content workflows, giving each agent a role, goal, backstory, and toolset. The course emphasizes practical design patterns for reliable multi-agent collaboration rather than toy demos.
At a Glance
- Topic
- Agentic
- Level
- Intermediate
- Format
- Course
- Cost
- Free
- Duration
- ~2-3 hours
- Provider
- DeepLearning.AI × crewAI
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Designing agents with roles, goals, and tools
- ✓Task delegation and collaboration between agents
- ✓Wiring agents to real tools and data
- ✓Multi-agent patterns for research and support automation
Highlights
- •Taught by crewAI's creator
- •Focus on multi-agent collaboration, not single agents
- •Reusable crew templates you can adapt
Who It’s For
Best For
- ✓Developers automating multi-step business workflows
Prerequisites
- •Intermediate Python
FAQ
What is Multi AI Agent Systems with crewAI?
Learn to design multi-agent 'crews' — agents with roles, goals, and tools that cooperate to automate real workflows.
Is Multi AI Agent Systems with crewAI free?
Multi AI Agent Systems with crewAI is free to access.
What level is Multi AI Agent Systems with crewAI for?
Multi AI Agent Systems with crewAI is aimed at a intermediate audience. Recommended background: Intermediate Python.
How long does Multi AI Agent Systems with crewAI take?
Expect roughly ~2-3 hours. Most learners work through it at their own pace.
What will I learn from Multi AI Agent Systems with crewAI?
You'll learn: Designing agents with roles, goals, and tools; Task delegation and collaboration between agents; Wiring agents to real tools and data; Multi-agent patterns for research and support automation.