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DeepLearning.AI

LangChain for LLM Application Development

  • up to 1 hour
  • Beginner

In this course, you will learn to expand the use cases and capabilities of language models in application development using the LangChain framework. Taught by Harrison Chase and Andrew Ng, this course will enable you to create robust applications in a matter of hours.

  • Models
  • Prompts
  • Parsers
  • Memories for LLMs
  • Chains

Overview

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. You will learn about models, prompts, parsers, memories for LLMs, chains, question answering over documents, and agents. By the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Beginners

Individuals new to language models and application development.

Python Developers

Developers with basic Python knowledge looking to expand their skills in LLM application development.

AI Enthusiasts

Anyone interested in learning about the LangChain framework and its applications in AI.

This course will teach you how to leverage the LangChain framework to build personal assistants and specialized chatbots. Ideal for beginners and Python developers, it will help you expand your skills in LLM application development and create robust applications quickly.

Pre-Requisites

1 / 3

  • Basic Python knowledge

  • Interest in language models

  • Willingness to learn new frameworks

What will you learn?

Models, Prompts and Parsers
Learn how to call LLMs, provide prompts, and parse the responses.
Memories for LLMs
Understand how to use memories to store conversations and manage limited context space.
Chains
Create sequences of operations to build complex applications.
Question Answering over Documents
Apply LLMs to your proprietary data and use case requirements.
Agents
Explore the powerful emerging development of LLM as reasoning agents.

Meet your instructors

  • Harrison Chase

    Co-Founder and CEO, LangChain

    Harrison Chase is the Co-Founder and CEO of LangChain. He has expertise in sports, machine learning, software engineering, and statistics.

  • Andrew Ng

    Founder of DeepLearning.AI; Managing General Partner of AI Fund; Founder and CEO of Landing AI, DeepLearning.AI

    Andrew Ng is a renowned artificial intelligence expert with extensive experience in academia, industry, and entrepreneurship. As the Founder of DeepLearning.AI, Managing General Partner of AI Fund, and Founder and CEO of Landing AI, he has made significant contributions to the advancement of AI and its application across various sectors.

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