LangGraph: Orchestrating Intelligent AI Workflows
LangGraph is a framework for building stateful, multi-step AI applications using graph-based workflows. It enables developers to design complex logic, manage memory, and coordinate multiple AI agents efficiently for advanced automation and decision-making systems.
What's Included
9
Lessons
2h 45m
Duration
Certificate
What You'll Master
Skills and outcomes you'll walk away with
Foundations of LangGraph and State Machines
Advanced State Management and Reducers
Control Flow: Conditional Edges and Cycles
Tool Calling and External Integrations
Persistence and Checkpointing
Human-in-the-Loop and Breakpoints
Course Curriculum
9 lessons • 2h 45m total
Foundations of LangGraph and State Machines
Advanced State Management and Reducers
Control Flow: Conditional Edges and Cycles
Tool Calling and External Integrations
Persistence and Checkpointing
Human-in-the-Loop and Breakpoints
Multi-Agent Architectures and Orchestration
Time Travel and State Manipulation
Deployment, Monitoring, and LangGraph Cloud
Certification Path
Certification Exam
27 multiple-choice questions • 70% passing score required
Final Project: Building a Multi-Agent Collaborative Research System
In this final assignment, you are required to build a stateful, multi-agent workflow using LangGraph that automates a complex research task. Your system must include a Research Agent to gather data, a Synthesis Agent to draft a report, and a Critique Agent that evaluates the output. The workflow must implement a cycle where the Critique Agent can send the report back for revisions if it fails to meet specific quality criteria. You must demonstrate the use of LangGraph State, Checkpointers for persistence, and Conditional Edges to control the flow based on agent output.
Verified Certificate
Earn a verified PDF certificate with unique verification ID upon completion • ₹299
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Certificate: ₹299
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