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Compare up to three published courses by skills, level, duration, prerequisites and certification requirements.
| Compare | LangGraph for Stateful AI Systems |
|---|---|
| Level | Intermediate to Advanced |
| Duration | 24–40 hours |
| Format | Self-paced course |
| Access | Premium access |
| Skills | nodes, edges, state, routing, cycles, typed state, messages, intermediate values, state updates, immutability/mutation considerations, node functions, normal edges, conditional edges, entry/exit, classifier/router node, conditional branching, tool routing, fallback paths, retry loops, agent loops, termination conditions, iteration budgets, checkpointing, session state, resume after failure, state inspection, interrupt/resume concept, approval gates, human overrides, escalation, tools, loops, persistence, human approval, observability |
| Modules | 8 |
| Prerequisites | AI Agents Engineering; LangChain helpful |
| Assessment | Course assessment |
| Certificate | Completion requirements apply |