Free text-first course
LangGraph for Agentic Workflows
An approval-aware LangGraph workflow with state, deterministic steps, model-driven steps, checkpointing, resume behavior, and trace evidence.
What you will be able to do
An approval-aware LangGraph workflow with state, deterministic steps, model-driven steps, checkpointing, resume behavior, and trace evidence.
Use a repeatable workflow instead of disconnected tips.
Check assumptions, evidence, output quality, and limitations before using results.
Create a capstone artifact that can be inspected, improved, and reviewed.
What you need before starting
Learners who want to design stateful agent workflows as graphs with explicit state, routing, checkpoints, approvals, and recovery.
LangChain for LLM Applications and RAG and Introduction to Agentic AI are recommended.
Static lessons, activities, knowledge checks, learner templates, and a downloadable text-first pack.
11-module course sequence
The sequence follows the approved detailed syllabus and is implemented as a complete text-first shell.
Module 01
Why Graph Orchestration Exists
- Learn how Why Graph Orchestration Exists fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 02
State, Nodes, Edges, START, and END
- Learn how State, Nodes, Edges, START, and END fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 03
Deterministic Steps versus LLM Steps
- Learn how Deterministic Steps versus LLM Steps fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 04
Conditional Routing and Error Paths
- Learn how Conditional Routing and Error Paths fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 05
Tool Nodes and Controlled Action Execution
- Learn how Tool Nodes and Controlled Action Execution fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 06
Persistence and Checkpointing
- Learn how Persistence and Checkpointing fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 07
Human-in-the-Loop Review and Edits
- Learn how Human-in-the-Loop Review and Edits fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 08
Streaming and Long-Running Workflow UX
- Learn how Streaming and Long-Running Workflow UX fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 09
Multi-Agent Patterns with Supervisor or Handoff
- Learn how Multi-Agent Patterns with Supervisor or Handoff fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 10
Debugging, Tracing, and Failure Recovery
- Learn how Debugging, Tracing, and Failure Recovery fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Module 11
Capstone: Approval-Aware Research Workflow
- Learn how Capstone: Approval-Aware Research Workflow fits into LangGraph agentic workflows instead of treating it as an isolated topic.
- Practice by modeling or reviewing a small graph step using the module idea, then compare the result with the module review checklist.
- Produce a graph workflow note with state, route, tool boundary, and recovery check before moving ahead in LangGraph for Agentic Workflows.
Course status: outline published, lessons in development
The full syllabus, module structure, activities, and download pack are published and free to use now. Detailed lesson writing is still in progress, so lesson pages currently give the shape of each topic rather than the final teaching depth. Per-module assessments, worked examples, instructional diagrams, and external specialist review are planned next.