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GENERAL // ADVANCED

LangGraph Masterclass: From Control Flows to Complex Workflows

Born to tame unpredictable LLM applications! This 30-lesson series takes you from basic concepts deep into the LangGraph framework, mastering Nodes, Edges, State, Checkpointers, and Multi-Agent patterns. We seamlessly thread a central capstone project: 'The AI Content Agency', helping you build industrial-grade, multi-role autonomous workflow applications.

CURRICULUM MODULES

COURSE CONTENT

01

Session 01 | Why LangGraph? The End of the Chain Era and the Rise of State Graphs

[11 MINS // READ →]
02

Part 02 | The Heart of StateGraph: Dissecting the Global State

[20 MINS // READ →]
03

Part 03 | Business Nodes: The True Executors of the Graph

[20 MINS // READ →]
04

Part 04 | Routing Edges and the END Node

[20 MINS // READ →]
05

Part 05 | Initial Success: Running the \"Research-Write\" Closed Loop

[20 MINS // READ →]
06

Part 06 | The Native Powerhouse: Seamlessly Integrating External Skills with ToolNode

[20 MINS // READ →]
07

Part 07 | Conditional Edges: The \"Branching Decider\" of Workflows

[20 MINS // READ →]
08

Lesson 08 | Building a Standard ReAct Agent Architecture

[20 MINS // READ →]
09

Episode 09 | Beyond the Local Scope: Handling Exceptions in Tool Nodes

[20 MINS // READ →]
10

Part 10 | Granular Streaming: Watching the Graph Get the Job Done

[19 MINS // READ →]
11

Part 11 | Parallel Execution: The Divide and Conquer Mechanism

[20 MINS // READ →]
12

Episode 12 | The Black Magic of Reducers: How to Safely Incrementally Update Data

[20 MINS // READ →]
13

Part 13 | Human in the Loop (HITL): Building an Approval Node

[19 MINS // READ →]
14

Part 14 | Time Machine! Building Checkpoints with SqliteSaver/MemorySaver

[18 MINS // READ →]
15

Episode 15 | Manual Retouching: Correcting Agent Hallucinations with update_state

[20 MINS // READ →]
16

Episode 16 | Exploring Multi-Agent Architectures: Flat vs. Hierarchical

[20 MINS // READ →]
17

Episode 17 | Supervisor Agent: Building the Command Center

[20 MINS // READ →]
18

Part 18 | Sub-graphs: Condensing a Low-Level Graph into a Standard Node

[20 MINS // READ →]
19

Episode 19 | Cross-Agent Shared vs. Private State Walls: Information Routing and Isolation

[20 MINS // READ →]
20

Episode 20 | Network of Agents Simulation in Action

[20 MINS // READ →]
21

Episode 21 | Async Execution: Leaving Blocking in the Past

[20 MINS // READ →]
22

Part 22 | Observability: Seamlessly Mounting LangSmith Probes onto LangGraph

[20 MINS // READ →]
23

Episode 23 | Fine-Grained Token Streaming (stream_mode=\"messages\")

[17 MINS // READ →]
24

Part 24 | Anti-Timeout Strategies: Timeouts and LLM Fallback Retries

[17 MINS // READ →]
25

Episode 25 | Long-Term Memory: Saving Long-Term Preferences in Graphs

[19 MINS // READ →]
26

Episode 26 | Frontend Integration: Architecting Frontend-Backend Separation for LangGraph

[20 MINS // READ →]
27

Part 27 | Production-Grade Powerhouse: A First Look at LangGraph Cloud

[18 MINS // READ →]
28

Episode 28 | Extracting Complex Data (Structured Outputs)

[19 MINS // READ →]
29

Episode 29 | Testing Graphs: How Do We Automate Acceptance Testing for Agent Performance?

[20 MINS // READ →]
30

Part 30 | Capstone Project Showcase: A Complete AI Content Agency

[20 MINS // READ →]