CoursesAI Courses
LangGraph
AI Courses

LangGraph

Build practical LangGraph skills to design AI agents, manage stateful workflows, and develop reliable Generative AI applications.

5/5(4,890 Reviews)

Level

Advanced

Duration

4 weeks

Enquire This Course

About
Training Plan
Course Curriculum
New Batch
Projects
Certificate
Testimonials
FAQ
Interview FAQ

Placement Client

Accenture Logo
AWS Logo
Capgemini Logo
Deloitte Logo
Genpact Logo
HP Logo
Intel Logo
Microsoft Logo
Infosys Logo
Zoho Logo
Zelis Logo
Wipro Logo
Saint Gobain Logo
ONX Logo
Nava Logo
Infosys Logo
HCL Logo
Egon Zehnder Logo
Cognizant Logo
Bosch Logo
Bank of America Logo
Accenture Logo
AWS Logo
Capgemini Logo
Deloitte Logo
Genpact Logo
HP Logo
Intel Logo
Microsoft Logo
Infosys Logo
Zoho Logo
Zelis Logo
Wipro Logo
Saint Gobain Logo
ONX Logo
Nava Logo
Infosys Logo
HCL Logo
Egon Zehnder Logo
Cognizant Logo
Bosch Logo
Bank of America Logo

About LangGraph

LangGraph Course is an advanced practical training program designed to help learners build and orchestrate AI agents and stateful workflows for modern Generative AI applications.

The course covers LangGraph fundamentals, graph-based application design, nodes and edges, state management, AI agents, tool calling, conditional workflows, persistence, memory, human-in-the-loop patterns, and multi-agent applications.

Learners also explore how LangGraph can work with LangChain, retrieval systems, vector stores, and other components used in modern AI application development. The focus remains on using LangGraph to create controlled, stateful, and reliable AI workflows.

Through practical learning and real-world projects, learners gain experience in designing agent workflows, managing state, connecting tools, implementing retrieval, and developing AI applications with greater control and reliability.

The course is designed for professionals and learners who want to develop practical expertise in LangGraph, AI agent development, and Generative AI application development.

Video Thumbnail

Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

LangGraph Course Curriculum

Module 1 — LangGraph Fundamentals

Understand LangGraph fundamentals and learn how graphs, nodes, edges, state, and control flow are used to build AI applications.

Introduction to LangGraph
LangGraph Architecture
Graphs
Nodes
Edges
State
State Transitions
Building Basic Graphs
Graph Execution
Control Flow

Module 2 — Building AI Agents

Learn how to design AI agents that use models and tools to perform tasks through structured LangGraph workflows.

AI Agent Fundamentals
Agent Architecture
Model Integration
Tool Calling
Tool Integration
Agent Loops
Agent Execution
Building Agent Applications

Module 3 — Stateful AI Workflows

Build controlled workflows that maintain and update state while processing multi-step AI tasks.

State Management
Sequential Workflows
Conditional Workflows
Parallel Execution
Dynamic Routing
State Transitions
Workflow Control
Complex Agent Workflows

Module 4 — Memory & Persistence

Learn how LangGraph applications maintain context, save workflow state, and support long-running AI processes.

Agent Memory
Conversation State
Persistence
Checkpointing
State Storage
Resuming Workflows
Long-Running Applications

Module 5 — Human-in-the-Loop

Understand how human review and intervention can be incorporated into AI workflows for greater control and reliability.

Human Intervention
Workflow Interruptions
Review & Approval
Editing Agent Actions
Human Decision Points
Resuming Execution
Human-Agent Collaboration

Module 6 — RAG with LangGraph

Learn how LangGraph can coordinate retrieval and generation workflows for knowledge-based AI applications.

RAG Fundamentals
Document Retrieval
Document Processing
Embeddings
Vector Stores
Retrieval Workflows
Connecting Retrieval with Agents
RAG-Based AI Applications

Module 7 — Multi-Agent Systems

Explore how multiple specialized agents can be coordinated to perform complex tasks through structured LangGraph workflows.

Multi-Agent Architecture
Agent Coordination
Agent Communication
Task Delegation
Supervisor Patterns
Specialized Agents
Multi-Agent Workflows
Agent Orchestration

Module 8 — Production AI Applications

Apply LangGraph concepts to build more reliable and controllable AI applications suitable for practical implementation.

Workflow Reliability
Streaming
Error Handling
Evaluation Concepts
Debugging
Observability
Application Monitoring
Production-Ready AI Workflows
Capstone Application

AI Courses Courses

No related courses found

Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

HD
Resume Writing

Professional resume building session

HD
Interview Preparation

Master your interview skills

HD
Live Project Demo

Real-world project demonstrations

HD

Upcoming Batches

Can't find a batch you were looking for?

Who Should Take LangGraph Training?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning LangGraph

LangGraph Developer

AI Agent Developer

AI Agent Engineer

Key Projects

Practical LangGraph Projects

Saint Gobain

Saint GobainEnterprise Knowledge Agent


Scenario: Build a stateful AI agent that retrieves information from enterprise documents and generates contextual responses through a controlled LangGraph workflow.

Live Work:

  • Design agent state
  • Build retrieval workflow
  • Add response generation
Outcome: Enterprise knowledge AI agent
WNS

WNSIntelligent Support Workflow


Scenario: Develop an AI support workflow that routes customer queries, uses relevant tools, and generates responses through a controlled multi-step agent process.

Live Work:

  • Create routing workflow
  • Connect agent tools
  • Manage workflow state
Outcome: Intelligent support workflow
Bosch

BoschIndustrial AI Task Agent


Scenario: Create an AI agent that handles technical tasks through multiple workflow steps while maintaining state and using external tools for relevant information.

Live Work:

  • Build task-based agent
  • Add tool integration
  • Implement state handling
Outcome: Industrial AI task agent
Razorpay

RazorpayFinancial Research Agent


Scenario: Build a research agent that processes financial queries, retrieves relevant information, and routes tasks through a structured LangGraph workflow.

Live Work:

  • Design research workflow
  • Implement retrieval
  • Add agent routing
Outcome: Financial research AI agent
Mobile Banner

Latest HiringNEW

No hiring posts

Recently Placed Candidates

No placements available

Latest HiringNEW

No hiring posts

Our Success Mantra

Commitment Icon
Commitment

  • Ensuring quality training every day

Commitment Icon
Fulfillment

  • Meeting learning goals with confidence

Commitment Icon
Accomplishment

  • Students achieving industry-ready expertise

Our Learner Voice

Loading reviews...

Student review testimonial
Student review testimonial
Student review testimonial
Student review testimonial
Student review testimonial
Student review testimonial
Student review testimonial
Student review testimonial
Student review testimonial
Student review testimonial

Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is LangGraph?

What is a LangGraph course?

What is LangGraph used for?

What will I learn in a LangGraph course?

What is the difference between LangChain and LangGraph?

Can LangGraph be used to build AI agents?

What is LangGraph and why is it used?

What are nodes and edges in LangGraph?

What is state in LangGraph?

How does LangGraph support AI agents?

What is persistence in LangGraph?

What is human-in-the-loop in LangGraph?

LangGraph Certification

Upon successful completion of the course requirements, learners can receive a certificate recognizing their learning and practical understanding of LangGraph, AI agent development, stateful workflows, agent orchestration, tool integration, persistence, human-in-the-loop workflows, and Generative AI application development.

The certification reflects the learner’s participation and successful completion of the LangGraph Course and its applicable learning requirements, subject to TechPratham’s certification criteria.

Industry-Recognized Certification

Certificate
LangGraph

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

Featured In

Featured Logo 1Featured Logo 2Featured Logo 3Featured Logo 4Featured Logo 5Featured Logo 6Featured Logo 7Featured Logo 8Featured Logo 9Featured Logo 10Featured Logo 11Featured Logo 12
TechPratham Gains Recognition for Bridging the HR & ERP Skills Gap with Hire-Train-Deploy
TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry
India Flag

India

Head Office

G-31, 1st Floor, Sector-3, Noida - 201301

India Flag+91-8882178896
WhatsApp
USA Flag+1 (343) 477-0926
WhatsApp
India Flag

India

Noida Office

B-24, Sector-1, Noida, Uttar Pradesh - 201301

India Flag+91-8882178896
WhatsApp
USA Flag+1 (343) 477-0926
WhatsApp
India Flag

India

Hyderabad Office

LVS Arcade, 6th Floor, Hitech City, Hyderabad

India Flag+91-8882178896
WhatsApp
USA Flag+1 (343) 477-0926
WhatsApp