AI Agentic Design Patterns with AutoGen
Reviewed by AI Agent Rank editors · Last verified 2026-05-24
Our take
AutoGen takes a different angle than LangGraph and crewAI — agents talk to each other in structured conversations rather than executing a state graph. The course teaches the four design patterns (reflection, tool use, planning, multi-agent collaboration) at a conceptual level you'll find useful even if you never ship AutoGen. Take it for the patterns, not necessarily for the framework.
About the instructor
AutoGen is Microsoft Research's multi-agent framework — the most rigorous of the three (with crewAI + LangGraph) on conversation patterns and group-chat orchestration.
Pros
- +Concept-first teaching — the patterns transfer to any agent framework
- +Free, ~90 minutes, taught by the framework creators
- +Microsoft-backed — more production-ready than crewAI in regulated environments
Cons
- −AutoGen has less community momentum in 2026 than LangGraph
- −Conversational pattern feels heavier than role-based or graph-based alternatives
Best for
- · Engineers wanting the conceptual map of agentic design patterns
- · Microsoft-stack teams considering AutoGen for production
Not ideal for
- · Anyone deciding "which framework to commit to" — start with LangGraph or crewAI first
Free on DeepLearning.AI · ~1.5 hours
After this course
These are the agents and tools where the skills from this course actually pay back.
Alternatives we considered
Other courses on the same topic. The right pick depends on your level and constraints — see each card for the trade-offs.