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Mastering LangChain: A Hands-on Workshop for Building Generative AI Applications

3,342.00

You will get this course added to your account after the purchase

ADaSci Members receive 50% discount.

ADaSci Premium Members receive 100% discount.

Description

Have immersive learning on LangChain, tailored for developers and practitioners passionate about exploring the possibilities of generative AI. In this hands-on learning opportunity, you will embark on a transformative journey, creating LLM-powered applications with LangChain spanning various industry domains. Discover how to build and deploy generative AI-powered agents capable of tackling real-world scenarios. Dive into leveraging company-specific data to develop custom applications like chatbots and web agents, enabling seamless interactions with websites and delivering pertinent information. Through practical examples and step-by-step guidance, unlock LangChain’s potential to revolutionize industries with innovative, intelligent, and personalized applications. 

 

Learning Outcomes

  1. Gain a comprehensive understanding of generative AI and its applications across various industry domains.
  2. Learn how to build and deploy generative AI-powered agents using LangChain, enabling seamless interactions with customers and enhancing user experiences.
  3. Acquire the skills to leverage company-specific data and develop custom generative AI applications, such as chatbots and web agents, tailored to specific business needs.
  4. Explore hands-on examples to apply LangChain’s capabilities, enabling the creation of innovative, intelligent, and personalized generative AI applications.

 

Outline

  1. Introduction to Generative AI
    1. Fundamentals of Generative AI
    2. Applications of generative AI in various industries
    3. Capabilities and implementation limitations
  2. Understanding Large Language Models (LLMs)
    1. Introduction to LLMs and their Significance in Generative AI
    2. Training and fine-tuning LLMs for specific tasks
    3. Capabilities for industries and implementation limitations
  3. Overview of LangChain
    1. What is LangChain?
    2. Features and capabilities of LangChain
    3. Understanding the chain, agent, and memory functionalities
    4. Industry use cases of LangChain and other alternatives
  4. Hands-on: Building Generative AI Agents
    1. Creating and customizing generative AI agents with LangChain
    2. Developing conversational agents on your own data
    3. Techniques for generating personalized responses
  5. Hands-on: Deploying Generative AI Applications:
    1. Deployment process for generative AI applications powered by LangChain
    2. Exploring deployment options and considerations

Prerequisites

  • Basic knowledge of Python and object-oriented programming
  • Knowledge and familiarity with AI concepts