Curriculum

14 Chapters · 14 Lessons

  1. 1

    Book Preview

    1. Building Conversational Generative AI Apps with Langchain and GPT Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Introduction to Conversational Generative AI

    1. (Included in full purchase)

      Introduction to Conversational Generative AI

  4. 4

    Chapter 2 : Natural Language Processing (NLP) Fundamentals

    1. (Included in full purchase)

      Natural Language Processing (NLP) Fundamentals

  5. 5

    Chapter 3 : The Building Blocks of Rule-Based Chatbots

    1. (Included in full purchase)

      The Building Blocks of Rule-Based Chatbots

  6. 6

    Chapter 4 : Statistical Language Models for Text Generation

    1. (Included in full purchase)

      Statistical Language Models for Text Generation

  7. 7

    Chapter 5 : Neural Network Architectures for Conversation

    1. (Included in full purchase)

      Neural Network Architectures for Conversation

  8. 8

    Chapter 6 : The Transformer Architecture Revolution

    1. (Included in full purchase)

      The Transformer Architecture Revolution

  9. 9

    Chapter 7 : Unveiling ChatGPT and Architectures

    1. (Included in full purchase)

      Unveiling ChatGPT and Architectures

  10. 10

    Chapter 8 : Langchain Framework for Building Conversational AI

    1. (Included in full purchase)

      Langchain Framework for Building Conversational AI

  11. 11

    Chapter 9 : Exploring the LLM Landscape beyond GPT

    1. (Included in full purchase)

      Exploring the LLM Landscape beyond GPT

  12. 12

    Chapter 10 : The Transformative Impact of Conversational AI

    1. (Included in full purchase)

      The Transformative Impact of Conversational AI

  13. 13

    Chapter 11 : Challenges and Opportunities in LLM Development

    1. (Included in full purchase)

      Challenges and Opportunities in LLM Development

  14. 14

    INDEX

    1. (Included in full purchase)

      INDEX

About the course

Conversational AI Apps are revolutionizing the way we interact with technology, enabling businesses and developers to create smarter, more intuitive applications that engage users in natural, meaningful ways. Building Conversational Generative AI Apps with LangChain and GPT is your ultimate guide to mastering AI-driven conversational systems. Starting with core concepts of generative AI and LLMs, you'll learn to build intelligent chatbots and virtual assistants, while exploring techniques like fine-tuning LLMs, retrieval-augmented generation (RAG), and document embedding. As you progress, you'll dive deeper into advanced topics such as vector databases and multimodal capabilities, enabling you to create highly accurate, context-aware AI agents. The book's step-by-step tutorials ensure that you develop practical skills in deploying and optimizing scalable conversational AI solutions. By the end, you'll be equipped to build AI apps that enhance customer engagement, automate workflows, and scale seamlessly. Unlock the potential of Building Conversational Generative AI Apps with LangChain and GPT and create next-gen AI applications today!

About the Author

Mugesh S. is an AI developer at LTIMindtree with a strong passion for leveraging data-driven insights to solve complex challenges and drive business innovation. Building on his engineering background, he completed a postgraduate program in Data Science and Engineering, along with a Master’s degree in Mathematics focused on Data Science. His expertise spans across Python programming, machine learning, and artificial intelligence, with a deep understanding of both theoretical foundations and practical implementations.