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AI Agents in LangGraphvsAI Agentic Design Patterns with AutoGen

Side-by-side comparison on level, duration, pricing, instructor, tier. Editor verdict on which course wins for which buyer.

DL.AI
DeepLearning.AI

AI Agents in LangGraph

The shortest path from 'I read about agents' to 'I built one that works.' Harrison Chase walks through LangGraph's state machine model end-to-end — agentic loop, tool use, persistent state, human-in-the-loop. Free, ~90 minutes, and the only short course we recommend ahead of a longer specialization. Limitation: it assumes Python comfort and skips over LLM fundamentals. Pair it with the LLM Fundamentals course below if you're new to the field.

DL.AI
DeepLearning.AI

AI Agentic Design Patterns with AutoGen

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.

Side-by-side

DimensionAI Agents in LangGraphAI Agentic Design Patterns with AutoGen
ProviderDeepLearning.AIDeepLearning.AI
Editorial tierHands-on reviewedCurated
LevelIntermediateIntermediate
Formatself pacedself paced
Duration~1.5 hours (4 lessons)~1.5 hours
PricingFreeFree
InstructorHarrison Chase — Founder, LangChainChi Wang & Qingyun Wu — Co-creators of AutoGen, Microsoft Research
RatingNo public ratingNo public rating
Topicsbuild ai agents, langchain, langgraphbuild ai agents, ai engineering
Last verified2026-05-232026-05-24

Pros & cons

AI Agents in LangGraph
Pros
  • +Built and taught by LangChain founder — most authoritative source possible
  • +Free, ~90 minutes, immediate hands-on labs
  • +Covers state, tools, HITL, persistence — the actual building blocks
Cons
  • −Skips LLM basics — assumes you know what a token / context window is
  • −No certificate — bad for resume-padding, fine for actual learning
AI Agentic Design Patterns with AutoGen
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

Which course is for whom?

AI Agents in LangGraph
Best for
  • · Engineers who have used the OpenAI API but never built an agent loop
  • · PMs who want to understand how agents actually work under the hood
Not ideal for
  • · Complete beginners — start with LLM Fundamentals first
  • · People who need a certificate — this course doesn't issue one
AI Agentic Design Patterns with AutoGen
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

Editor's short verdict

Take AI Agents in LangGraph first — it's our Tier-1 pick on this topic and the editorial confidence is higher. AI Agentic Design Patterns with AutoGen is a reasonable alternative if you've already taken or evaluated the Tier-1 option.

DL.AIHands-on reviewedEditor's pick
DeepLearning.AI

AI Agents in LangGraph

For: Engineers who have used the OpenAI API but never built an agent loop

Intermediate · ~1.5 hours (4 lessons) · Free
ReviewOpen free →

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