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AG05Agentic AI

LangGraph for Stateful Agents

Build a stateful support workflow with explicit nodes, routing, retries, checkpoints, and human-review boundaries.

Production project

Production Support Workflow

A support issue must be classified, enriched from documentation, checked against service state, and escalated when the agent is uncertain.

Who this is for

  • •AI engineers building multi-step agent workflows
  • •Backend developers who prefer explicit state machines over opaque agent loops

How this helps

  • •You can make multi-step agent behavior inspectable and controllable
  • •You gain a reusable pattern for production workflows

What you will learn

The capabilities, not just the keywords.

  • •Model agent state explicitly
  • •Design nodes and conditional routing
  • •Create loops without losing control of execution
  • •Add checkpoints and recovery behavior
  • •Insert human review at high-risk transitions

Real production project

Production Support Workflow

A support issue must be classified, enriched from documentation, checked against service state, and escalated when the agent is uncertain.

What we build

  • •State schema
  • •classification node
  • •retrieval node
  • •tool node
  • •decision routing
  • •human-review branch

Stack

  • •Python
  • •LangGraph
  • •LLM API
  • •tool interfaces

Production concerns

  • •State persistence
  • •loop limits
  • •retries
  • •approval gates
  • •traceability
  • •recovery

Finished deliverables

  • •Runnable LangGraph workflow
  • •state diagram
  • •test scenarios
  • •production hardening checklist

Prerequisites

Required

  • •Python
  • •Function/tool calling fundamentals

Helpful, but optional

  • •AG01
  • •RAG basics

Before the session

Come ready to build.

  • •Python 3.11+
  • •LLM API access
  • •Basic function-calling knowledge

What to expect

15–25%Concept + problem framing
60–70%Implementation, design, and debugging
10–15%Production trade-offs + next actions

What you get

Something useful after the call ends.

  • •Source code
  • •state diagram
  • •workflow test cases
  • •next-step production architecture

Where to go next

Agent Fundamentals → Stateful Orchestration → Production Agents

Every session can be booked independently. If you already know the prerequisite material, skip ahead.

Teaching proof

Review the evidence first.

See workshop delivery, technical projects, and teaching proof before booking.

Ready?

Request AG05: LangGraph for Stateful Agents

Share your current level and what you want to build. The session can be adapted without changing its core outcome.

Request this session

FAQ

Can I book only this session?

Yes. Every session is designed to work independently.

Can I bring my own project?

Yes, when it fits the session outcome. We can map the concepts onto your project instead of the default example.

What if I already know part of the topic?

We can move faster through familiar material and spend more time on implementation, failure modes, and production trade-offs.

Is the session recorded?

Recording is not promised by default. Confirm this before the session if you need it.

What should I install?

The preparation section above lists the default setup. You will receive any session-specific setup notes before the call.

Are API or cloud charges included?

No. Any third-party API or cloud usage is paid directly through your own account unless explicitly agreed otherwise.