Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI (Coursera, IBM)

IBM / Coursera

A comprehensive, framework-agnostic foundation for engineers ready to move beyond single-agent patterns into production agentic systems.

September 13, 2026

Engineers building multi-agent systems

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About

This Coursera course covers the design and implementation of AI-powered systems using LangGraph, CrewAI, BeeAI, and AG2. Learners work through practical examples of agent orchestration, tool use, and system composition. The course is taught by IBM instructors and includes labs and real-world use cases.

Who is it for

Software engineers and ML practitioners with Python experience who want to build production agentic systems. Intermediate learners comfortable with APIs and frameworks.

IBM's multi-framework agentic AI course

This course stands out by covering four complementary frameworks in one structured path, avoiding single-tool bias. IBM's partnership with Coursera ensures production-grade content aligned with enterprise use cases.

What you learn

Design and deploy multi-agent systems with LangGraph state graphs

Build collaborative agents using CrewAI roles and task delegation

Implement autonomous reasoning with AG2 (AutoGen) agent patterns

Integrate tool use and memory management across agent architectures

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