Home / Providers / DeepLearning.AI
Multi AI Agent Systems with crewAI
Taught by crewAI founder João Moura: agents with roles, goals, and backstories working as a crew across business use cases. The quickest way to learn crewAI's mental model.
Go to the course on DeepLearning.AI- Provider
- DeepLearning.AI (with crewAI)
- Price
- Free
- Certificate
- Paid certificateDeepLearning.AI calls it an accomplishment; it needs Pro.
- Level
- Beginner
- Time
- 3h 6m
- Format
- Short video course with code notebooks
- Checked
- 2026-11-05
Free for a limited time during the DeepLearning.AI platform beta. The graded quiz and accomplishment need Pro.
01
What you will learn.
- 01crewAI
- 02Role-based agents
- 03Memory
- 04Tools
- 05Guardrails
- 06Sequential, parallel, and hierarchical tasks
More inAI agents courses
02
Before you enroll.
From the course page, checked 2026-11-05.
- Who it is for
- People with some prompt engineering and basic coding who want to use LLMs at work.
- You need
- Some prompt engineering experience
- Basic coding
- What you build
- A crew that researches and writes an article
- A multi-agent customer support automation
- A crew that plans an event
- A crew that tailors a resume and interview prep to a job
03
Similar courses.
Agentic AI
Andrew Ng teaches the core agentic design patterns (reflection, tool use, planning, multi-agent) in plain Python before any framework. The best conceptual course here; the certificate requires Pro.
Free + paidPaid certificateIntermediate
AI Agents in LangGraph
Harrison Chase (LangChain) builds an agent from scratch in Python, then rebuilds it in LangGraph with persistence, streaming, and human-in-the-loop. A fast, focused LangGraph intro.
FreePaid certificateIntermediate
Evaluating and Improving Agentic Applications
The eval course most agent tutorials skip: traces, test sets, code evaluators and LLM judges, judge reliability, and turning production failures into regression tests. Take it once you have an agent worth measuring.
PaidPaid certificateIntermediate