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LangGraph Training

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Build intelligent AI agents with the LangGraph Training by Multisoft AI. Learn graph-based AI workflows, state management, multi-agent orchestration, and advanced LLM application development through expert-led sessions, hands-on projects, and real-world use cases. Gain industry-recognized certification and practical skills to design scalable, production-ready AI solutions.

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The LangGraph Training by Multisoft AI is designed to help professionals master the development of intelligent, stateful AI applications using LangGraph. As an advanced framework built for orchestrating Large Language Model (LLM) workflows, LangGraph enables developers to create robust AI agents, multi-agent systems, and complex decision-making pipelines.

This course covers the fundamentals of graph-based AI workflows, state management, agent orchestration, memory handling, tool integration, and human-in-the-loop processes. Through expert-led training, hands-on labs, and real-world projects, participants will learn how to design, build, test, and deploy production-ready AI applications using LangGraph alongside modern AI technologies.

By the end of the course, learners will have the practical skills to develop scalable AI solutions, automate intelligent workflows, and implement advanced agent architectures for enterprise applications. The course is suitable for AI developers, software engineers, data scientists, machine learning professionals, and anyone looking to specialize in next-generation Generative AI application development.

  • What is LangGraph?
  • LangGraph Architecture and Core Concepts
  • Graph-Based Workflow Fundamentals
  • Installation and Environment Setup
  • Understanding Nodes, Edges, and State

  • Creating Your First LangGraph Application
  • State Management
  • Conditional Routing
  • Graph Execution Flow
  • Error Handling and Debugging

  • Introduction to AI Agents
  • Single-Agent Workflows
  • Multi-Agent Architectures
  • Agent Communication
  • Human-in-the-Loop Workflows

  • LangGraph and LangChain Integration
  • Prompt Templates
  • Memory Management
  • Tool Calling
  • Retrieval-Augmented Generation (RAG)

  • Dynamic Workflow Routing
  • Parallel Execution
  • Workflow Optimization
  • Long-Running Processes
  • Event-Driven AI Applications

  • API Integration
  • Database Connectivity
  • Vector Databases
  • Third-Party Tool Integration
  • Cloud Deployment Basics

  • Testing LangGraph Applications
  • Monitoring and Logging
  • Performance Optimization
  • Deployment Strategies
  • Security Best Practices

  • AI Customer Support Agent
  • Document Processing Workflow
  • Research Assistant using LangGraph
  • Multi-Agent Task Automation
  • Enterprise AI Workflow Capstone Project
  • Understand the fundamentals and architecture of LangGraph.
  • Build stateful AI applications using graph-based workflows.
  • Design and develop intelligent AI agents and multi-agent systems.
  • Implement memory, state management, and decision-making in AI workflows.
  • Integrate Large Language Models (LLMs), APIs, and external tools into LangGraph applications.
  • Create human-in-the-loop workflows for improved AI reliability and control.
  • Develop scalable, production-ready Generative AI solutions using LangGraph and LangChain.
  • Debug, test, and optimize AI agent workflows for enterprise use cases.
  • Deploy LangGraph-based applications following industry best practices.
  • Apply LangGraph to solve real-world business automation and AI orchestration challenges.

LangGraph is a framework for building stateful, multi-step AI applications and intelligent agents using Large Language Models (LLMs). Learning LangGraph enables you to create scalable AI workflows, multi-agent systems, and enterprise-grade Generative AI solutions.

This course is ideal for AI engineers, Python developers, machine learning engineers, data scientists, software developers, solution architects, and professionals looking to build advanced AI agents and workflow automation solutions.

Participants should have a basic understanding of Python programming and familiarity with Generative AI or Large Language Models (LLMs). Prior experience with LangChain is helpful but not mandatory.

Yes. Upon successful completion of the training, participants will receive an industry-recognized LangGraph Training Certification from Multisoft AI.

The course includes hands-on projects such as building AI agents, multi-agent workflows, document processing systems, Retrieval-Augmented Generation (RAG) applications, and enterprise AI automation solutions using LangGraph.

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This Course Includes:
  • Globally Recognized Certification
  • 24+ Hrs. of Expert-Led Training
  • Interactive Live Masterclasses
  • Practical, Hands-On Learning
  • Build Your Own AI-Powered App
  • multisoft ai tools Explore a Multiple AI Tools
  • multisoft ai tools Unlimited Practice Assessments
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  • multisoft ai tools Recorded Live Sessions
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  • 100% practical-oriented classes tailored to your pace
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  • Flexible timing to suit your schedule
  • 24×7 learner assistance
  • Certification guidance provided
  • Post-training community and expert support
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