LangChain Skills you will learn

  • LangChain Framework
  • Memory Management
  • Prompt Engineering
  • Integration with LLMs
  • Langchain Tools and Libraries

Who should learn this free LangChain course?

  • AI Developer
  • Data Scientist
  • Machine Learning Engineer
  • NLP Specialist
  • Conversational AI Engineer

What you will learn in this free LangChain course?

  • Langchain Course for Beginners

    • Introduction

      02:01
      • Introduction
        02:01

    • Lesson 1: Memory Types in Langchain

      18:56
      • Memory Types in Langchain
        18:56

    • Lesson 2: Conversation Memory

      08:15
      • Conversation Memory
        08:15

    • Lesson 3: Dynamic Conversations with LangChain

      17:25
      • Dynamic Conversations with LangChain
        17:25

    • Lesson 4: Contextual Understanding in Prompts

      18:12
      • Contextual Understanding in Prompts
        18:12

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn LangChain?

$503.40 Billion.

Expected size of global Machine Learning market by 2030.

$161K+ (USA) | INR 10 LPA

Average Salary of an ML Engineer annually.

About the Course

This course introduces LangChain basics, a cutting-edge framework for developing advanced AI applications. Designed for beginners, it covers essential concepts like memory management, prompt engineering, and seamless integration with Large Language Models (LLMs). Gain practical experience in building dynamic, context-aware chatbots and workflows. Perfect for aspiring AI developers, this course provides a solid foundation in leveraging LangChain for real-world applications.

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FAQs

  • What is the LangChain course about?

    This course introduces LangChain, a powerful framework for building dynamic, context-aware AI applications such as chatbots and intelligent workflows.

  • Who should Learn langchain course?

    It’s ideal for AI enthusiasts, developers, data scientists, and anyone interested in learning how to build advanced conversational AI solutions.

  • Do I need prior knowledge to enroll in this course?

    Basic programming knowledge and familiarity with Python and AI concepts are recommended but not mandatory, as the course is beginner-friendly.

  • What topics are covered in this Langchain basics course?

    Topics include LangChain architecture, memory management, prompt engineering, integration with Large Language Models (LLMs), and building dynamic AI workflows.

  • Will I get hands-on experience during the course?

    Yes, the course includes practical exercises and projects where you’ll build and deploy LangChain-powered AI applications.

  • How long does it take to complete the Langchain basics course?

    This Langchain course is 2 hours long.

  • What are the benefits of completing this course?

    You’ll gain in-demand skills for building AI applications, improve your knowledge of memory types and LLM integration, and enhance your career opportunities.

  • What career opportunities can I pursue after completing this Langchain basics course?

    Roles such as AI Developer, Conversational AI Engineer, NLP Specialist, and Machine Learning Engineer are well-suited for LangChain expertise.

  • Will I receive a certificate upon completion?

    Yes, you will earn a certificate to validate your skills and showcase your expertise in LangChain

Related Courses

  • 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.