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LangChain Training

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12000 Enrollments

Transform your AI development skills with LangChain Training by Multisoft AI. Discover how to build powerful LLM applications using LangChain, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, vector databases, memory, and automated workflows. Learn through hands-on labs, real-world use cases, and expert guidance to confidently design and deploy next-generation AI solutions.

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The LangChain Training by Multisoft AI is designed to help learners build modern AI applications powered by Large Language Models (LLMs). This comprehensive program introduces the LangChain framework and demonstrates how to create intelligent, context-aware applications by integrating LLMs with external data sources, APIs, databases, and business workflows.

Throughout the course, participants will gain hands-on experience in developing AI solutions using Retrieval-Augmented Generation (RAG), prompt engineering, memory management, vector databases, document loaders, embeddings, output parsers, and AI agents. The curriculum emphasizes practical implementation through real-world projects, enabling learners to understand how enterprise-grade AI applications are designed, tested, and deployed.

Led by experienced industry professionals, this training combines instructor-led sessions, live demonstrations, coding exercises, and project-based learning to ensure participants acquire both conceptual knowledge and practical expertise. By the end of the course, learners will be equipped to build scalable, production-ready AI applications using LangChain and integrate them with leading LLM providers such as OpenAI, Anthropic, Google Gemini, and open-source models.

  • Overview of Generative AI and Large Language Models (LLMs)
  • What is LangChain?
  • LangChain architecture and core components
  • Installing and configuring the development environment
  • LangChain ecosystem and use cases

  • Python fundamentals for AI development
  • Working with virtual environments
  • Installing LangChain and required libraries
  • API keys and environment variables
  • Project setup and best practices

  • Prompt templates and prompt chaining
  • Dynamic prompts
  • System, user, and assistant prompts
  • Structured output generation
  • Prompt optimization techniques

  • Integrating OpenAI, Gemini, Anthropic, and open-source LLMs
  • Chat models and completion models
  • Model parameters and configurations
  • Managing tokens and API usage
  • Response handling

  • Document loaders
  • Text splitting strategies
  • Embedding models
  • Semantic search concepts
  • Working with unstructured data

  • Introduction to vector databases
  • Creating and storing embeddings
  • Similarity search
  • Integrating Chroma, FAISS, Pinecone, and Weaviate
  • Building efficient retrieval pipelines

  • Fundamentals of RAG
  • Building RAG applications
  • Retriever configuration
  • Context-aware question answering
  • Optimizing retrieval performance

  • Conversation memory
  • Chat history management
  • Session-based memory
  • Long-term memory concepts
  • Building conversational AI assistants

  • Introduction to AI agents
  • Agent architectures
  • Tool calling and function calling
  • API integration
  • Multi-step reasoning workflows

  • Sequential chains
  • Runnable pipelines
  • Workflow orchestration
  • Error handling
  • Building end-to-end AI applications

  • Testing LangChain applications
  • Performance optimization
  • Security and API management
  • Deployment strategies
  • Monitoring and maintenance

  • AI document chatbot
  • Enterprise knowledge base assistant
  • RAG-powered search application
  • AI customer support chatbot
  • Final capstone project using LangChain
  • Understand the architecture, components, and capabilities of the LangChain framework.
  • Build AI-powered applications using Large Language Models (LLMs).
  • Create Retrieval-Augmented Generation (RAG) pipelines for context-aware responses.
  • Design effective prompts using prompt engineering techniques.
  • Integrate LangChain with vector databases, APIs, and external data sources.
  • Develop AI agents capable of performing multi-step tasks and decision-making.
  • Implement memory to enable conversational and context-aware AI applications.
  • Work with embeddings, document loaders, text splitters, and output parsers.
  • Connect LangChain with leading LLM providers such as OpenAI, Anthropic, Google Gemini, and open-source models.
  • Develop, test, and deploy scalable, production-ready AI applications.
  • Apply industry best practices for AI workflow automation, debugging, and performance optimization.
  • Gain practical experience through hands-on labs, real-world projects, and case studies to become job-ready in Generative AI development.

LangChain Training is a comprehensive program that teaches you how to build AI-powered applications using Large Language Models (LLMs). You'll learn concepts such as Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, vector databases, memory management, and workflow automation through hands-on projects.

This course is ideal for Python developers, AI and Machine Learning engineers, data scientists, software developers, cloud professionals, students, and anyone looking to build practical Generative AI applications using the LangChain framework.

A basic understanding of Python programming is recommended. Familiarity with APIs, AI concepts, or Machine Learning is helpful but not mandatory, as the course begins with the fundamentals before progressing to advanced topics.

Yes. Upon successfully completing the LangChain Training Online Certification Course, you will receive a course completion certificate from Multisoft AI, validating your knowledge and practical skills in LangChain and AI application development.

During the course, you will work on real-world projects such as AI chatbots, Retrieval-Augmented Generation (RAG) applications, enterprise knowledge assistants, document search systems, AI agents, and workflow automation solutions to gain practical industry experience.

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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
  • multisoft ai tools Lifetime LMS Access
  • multisoft ai tools Recorded Live Sessions
Training Module

Choose your own comfortable learning experience.

One to One Training

24 hrs to Kickstart Your Training
  • 30 hours of personalized Salesforce training
  • Direct one-to-one sessions with expert trainers
  • 100% practical-oriented classes tailored to your pace
  • Includes resources and study materials
  • Latest version curriculum covered in detail
  • Flexible timing to suit your schedule
  • 24×7 learner assistance
  • Certification guidance provided
  • Post-training community and expert support
  • Lifetime access to training materials
  • Personalized career interview tips

Live Online (Instructor-Led)

24 hrs of Remote Classes
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  • Includes Self-Paced learning access
  • Live demonstrations of industry-ready skills
  • Virtual instructor-led training (VILT) classes
  • Real-time projects & certification guidance

Corporate Training

Customized Group Learning for Teams
  • Tailored curriculum to meet your business needs
  • Flexible scheduling (on-site or virtual)
  • Industry expert trainers with domain experience
  • Real-world case studies & hands-on practice
  • Focus on improving team productivity & skill application
  • Custom reporting & performance tracking
  • Access to post-training resources
  • Long-term upskilling partnership options

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