Udemy
PaidLangGraph: Develop LLM-Powered AI Agents
Explore Eden Marco’s LangGraph course for stateful Python agents and graph workflows, with LangChain prerequisites and practical debugging…
Greg Lim
Explore Greg Lim’s compact course on LangChain applications, document chat, memory and LangGraph nodes, state and conditional workflows.
Opens on the provider’s site. Check current access and certificate terms there.
Greg Lim connects LangChain application examples with introductory LangGraph workflows. Document chat and memory provide application context, while nodes and conditional graphs make control flow visible. It suits learners with basic programming experience who want a compact introduction and can add time for independent debugging beyond the recorded demonstrations.
Basic programming experience is useful; inspect Python setup and model-API access before enrolling.
Model APIs, search tools and hosting may cost extra. Check framework and model versions before reproducing recorded code. Use fictional data and restrict tool permissions while learning. Inspect state transitions, failures and retry behavior rather than judge an agent from one successful answer. Generated output and autonomous actions need validation; a project demonstration does not establish production reliability.
Udemy offers paid purchase or subscription access depending on the current course and region. Paid teaching courses provide completion certificates under Udemy’s policy. Check current access terms and any separate software or material costs before enrolling.
Build a small graph with two possible routes and test an input for each route, recording the state changes rather than only the final message.
This overview is based on the provider's published information, checked on . It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.
Where a formal level is unavailable, the level filter is an editorial estimate based on the published audience and requirements. Duration filters reflect the listed video time; exercises and independent practice can take longer.
View the curriculum and current access options at Udemy.
How YellowCourse describes and checks learning resources.
Took this course? Share what you thought.
Other learning resources covering the same topic.
Udemy
PaidExplore Eden Marco’s LangGraph course for stateful Python agents and graph workflows, with LangChain prerequisites and practical debugging…
Coursera
PaidExplore IBM’s LangGraph course on memory, conditional logic, reflection, collaborative agents and retrieval-enhanced workflows.
Coursera
PaidExplore IBM’s agent-framework course comparing LangGraph patterns, CrewAI workflows, BeeAI and conversation-driven systems using AG2.
Coursera
PaidExplore Packt’s LangGraph course on state, tools, human review and a financial-report-writer capstone with an application interface.
Udemy
PaidUdemy
PaidExplore Tensor Teach’s concise LangGraph course on graph state, a news-writing agent, reflection, checkpoints and human-review workflows.