LangGraph
Develop the skills to implement a stateful assistant with approval checkpoints through a learning path centred on LangGraph. Explore concepts, guided practice and an applied project.
Build practical LangGraph skills.
Skills and knowledge developed in this course.
- Graph primitives
- Execution state
- Human intervention
- Reliable execution
- Applied project: Implement a stateful assistant with approval checkpoints
- LangGraph — validation and review
About this course
This course develops practical capability in LangGraph. Its course-specific content covers Graph primitives, Execution state, Human intervention, Reliable execution, followed by an applied project focused on implement a stateful assistant with approval checkpoints. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with LangGraph or plan to take on responsibilities in this area.
Before you start
Basic computer literacy and a foundational understanding of artificial intelligence & generative ai. Prior experience with the named product helps with the practical exercises.
Implement a stateful assistant with approval checkpoints
Deliver implement a stateful assistant with approval checkpoints. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Graph primitives
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- State schemas, nodes and edges
- Reducers and conditional routing
Practical exerciseApply graph primitives to the implement a stateful assistant with approval checkpoints and capture the validation evidence.
02Execution state
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- Checkpoint storage and thread identity
- Resume behaviour and state inspection
Practical exerciseApply execution state to the implement a stateful assistant with approval checkpoints and capture the validation evidence.
03Human intervention
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- Interrupts and approval workflows
- Tool boundaries and rejection paths
Practical exerciseApply human intervention to the implement a stateful assistant with approval checkpoints and capture the validation evidence.
04Reliable execution
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- Retries, loops and termination
- Trace and test complete graph trajectories
Practical exerciseApply reliable execution to the implement a stateful assistant with approval checkpoints and capture the validation evidence.
05Applied project: Implement a stateful assistant with approval checkpoints
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- Define inputs, assumptions and acceptance criteria for: Implement a stateful assistant with approval checkpoints.
- Implement the project using graph primitives, execution state, human intervention, reliable execution.
Practical exerciseImplement a stateful assistant with approval checkpoints.
06LangGraph — validation and review
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- Demonstrate the completed project against its acceptance criteria.
- Exercise an invalid-input or failure scenario and document the observed result.
Practical exercisepresent the project evidence, limitations and a repeatable handover.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Graph primitives · Execution state
Establish the LangGraph scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Human intervention · Reliable execution
Apply the core LangGraph techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for implement a stateful assistant with approval checkpoints. - 04Learning milestone 4 In progress
Deliver the applied project
Complete implement a stateful assistant with approval checkpoints, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| AI / ML Engineer | ₹10–17 LPA | ₹20–35 LPA | ₹38–62 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗