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Functions, Tools and Agents with LangChainvsIntroduction to LangGraph (LangChain Academy)

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

DL.AI
DeepLearning.AI

Functions, Tools and Agents with LangChain

The middle-of-the-curriculum short course bridging from prompt patterns to full agent loops. Covers OpenAI function calling, LangChain tools, OutputParsers, and the conversational-agent loop. Free, 90 minutes, taught by Harrison Chase. Take this after the LangChain for LLM App Development short course and before the LangGraph one — they form the canonical 3-course LangChain sequence.

LC
LangChain Academy

Introduction to LangGraph (LangChain Academy)

The official deeper-dive into LangGraph from LangChain Academy. Where the DeepLearning.AI short covers basics in 90 minutes, this one goes 6-8 hours into state, persistence, human-in-the-loop, streaming, and the LangGraph Cloud deployment story. Free, taught by LangChain engineering. The canonical follow-up after the DL.AI short course if you're committing to LangGraph for production.

Side-by-side

DimensionFunctions, Tools and Agents with LangChainIntroduction to LangGraph (LangChain Academy)
ProviderDeepLearning.AILangChain Academy
Editorial tierHands-on reviewedHands-on reviewed
LevelIntermediateIntermediate
Formatself pacedself paced
Duration~1.5 hours (5 lessons)~6-8 hours (8 modules)
PricingFreeFree
InstructorHarrison Chase — Founder, LangChainLance Martin — LangChain Engineering
RatingNo public ratingNo public rating
Topicslangchain, build ai agents, prompt engineeringlangchain, langgraph, build ai agents
Last verified2026-05-242026-05-24

Pros & cons

Functions, Tools and Agents with LangChain
Pros
  • +By LangChain's founder — most authoritative source possible
  • +Bridges the gap between API-level prompting and full agentic loops
  • +Free, 90 minutes, fits in a single sitting
Cons
  • −Assumes prior LangChain basics — not a starting point
  • −Function-calling examples are OpenAI-flavored; patterns transfer to Anthropic
Introduction to LangGraph (LangChain Academy)
Pros
  • +Official deep-dive from LangChain Academy
  • +Free, 6-8 hours of structured content
  • +Covers production patterns (persistence, HITL, streaming, LangGraph Cloud)
Cons
  • −LangGraph-only — no comparison to crewAI / AutoGen alternatives
  • −Pre-reqs: comfortable with LangChain basics

Which course is for whom?

Functions, Tools and Agents with LangChain
Best for
  • · Engineers shipping their first LLM-with-tools app
  • · Anyone in the middle of the LangChain learning path
Not ideal for
  • · Complete beginners — start with LangChain for LLM App Development first
Introduction to LangGraph (LangChain Academy)
Best for
  • · Engineers committed to LangGraph for production agents
  • · Anyone past the DL.AI short course wanting production depth
Not ideal for
  • · Beginners evaluating frameworks — take the DL.AI short course first

Editor's short verdict

Take Introduction to LangGraph (LangChain Academy) first — it's the editor's pick on this topic. Functions, Tools and Agents with LangChain is a solid alternative; pick it if the format, instructor or price fit you better.

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Functions, Tools and Agents with LangChain vs Introduction to LangGraph (LangChain Academy) (2026): which course wins? · AI Agent Rank