LangChain Skills you will learn

  • LangChain Fundamentals
  • Large Language Model LLM Integration
  • Prompt Engineering
  • Memory amp Context Handling
  • RetrievalAugmented Generation RAG
  • Debugging amp Optimization

Who should learn this free LangChain course?

  • AI Chatbot Developer
  • Machine Learning Engineer
  • NLP Engineer
  • AI Solutions Architect
  • Conversational AI Engineer

What you will learn in this free LangChain course?

  • Build a Chatbot Using LangChain

    • Introduction

      01:36
      • Introduction
        01:36
    • Lesson 1: Introduction to LangChain

      04:10
      • Introduction to LangChain
        04:10
    • Lesson 2: Document Loading

      11:25
      • Document Loading
        11:25
    • Lesson 3: Document Splitting

      16:49
      • Document Splitting
        16:49
    • Lesson 4: Vectors and Embeddings

      11:17
      • Vectors and Embeddings
        11:17
    • Lesson 5: Data Retrieval

      11:45
      • Data Retrieval
        11:45
    • Lesson 6: Answering Questions

      06:10
      • Answering Questions
        06:10
    • Lesson 7: Building a Chatbot

      06:22
      • Building a Chatbot
        06:22
    • Lesson 8: Conclusion

      01:43
      • Conclusion
        01:43
About the Course

The Build a Chatbot Using LangChain course teaches you how to create AI-driven chatbots using LangChain, a powerful framework for developing conversational agents. You’ll learn to integrate Large Language Models (LLMs), design effective prompts, and handle chatbot memory and context. This hands-on course covers essential skills like deploying chatbots, integrating APIs, and optimizing for real-world applications. By the end, you'll be equipped to build a chatbot using LangChain and deploy it in various domains.

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Why you should learn LangChain?

$356.05 Billion

Expected size of global Generative AI market by 2030.

$163K+ (USA) | INR 10.3 LPA

Average Salary of a Machine Learning Engineer annually.

FAQs

  • What is the Build a Chatbot Using LangChain course about?

    This course teaches you how to create AI-powered chatbots using LangChain, covering LLM integration, prompt engineering, and real-world deployment.

  • Who should take this Build a Chatbot Using LangChain course?

    It is ideal for developers, AI enthusiasts, and anyone interested in building intelligent chatbots using Large Language Models (LLMs).

  • Do I need prior coding experience?

    Basic Python knowledge is recommended, as the course includes hands-on coding exercises using LangChain.

  • What are the key topics covered in this Build a Chatbot Using LangChain?

    You’ll learn LangChain fundamentals, chatbot architecture, prompt handling, data retrieval, and chatbot deployment.

  • Which tools and technologies are used in this Build a Chatbot Using LangChain course?

    This Build a Chatbot Using LangChain course focuses on LangChain, OpenAI’s GPT, Python, and frameworks like Streamlit for chatbot development.

  • Will I get hands-on experience?

    Yes! The course includes practical exercises where you’ll build, test, and deploy your own chatbot.

  • Can I integrate LangChain chatbots with external applications?

    Yes, the course teaches how to connect chatbots with APIs, databases, and other platforms.

  • Do I get a certificate after completing the course?

    Yes,  you will receive a certificate upon successful completion of this course.

  • How long does the course take to complete this Build a Chatbot Using LangChain course?

    This course on Build a Chatbot Using LangChain is 2 hours long.

  • What career opportunities does this course lead to?

    This course prepares you for roles such as AI Developer, Chatbot Engineer, NLP Engineer, and AI Solutions Architect.

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  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.