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DeepLearning.AI

Functions, Tools and Agents with LangChain

  • up to 1 hour
  • Intermediate

This course covers the latest advancements in LLM APIs and teaches you how to use LangChain Expression Language (LCEL) to build and customize chains and agents. By the end of the course, you'll be able to generate structured output, apply function calling, and build conversational agents.

  • LangChain Expression Language (LCEL)
  • Conversational agents
  • Function calling
  • Tagging
  • Data extraction

Overview

In this course, you will explore the rapidly evolving landscape of LLMs and the libraries that support them. You will learn about new advancements like ChatGPT’s function calling capability and build a conversational agent using LangChain Expression Language (LCEL). The course will cover tasks such as tagging, extraction, tool selection, and routing. By the end of the course, you will be able to generate structured output, use LCEL to build applications, and apply function calling to various tasks.

  • 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?

Developers

Anyone who’s interested in learning about the latest tools to build LLM-based applications.

Data Scientists

Professionals looking to enhance their skills in building conversational agents and using LLM APIs.

AI Enthusiasts

Individuals with a basic understanding of Python and LLMs who want to stay ahead of the latest advancements in AI.

Stay ahead of the latest advancements in LLM APIs by learning how to use LangChain Expression Language (LCEL) to build and customize chains and agents. This course is perfect for developers, data scientists, and AI enthusiasts looking to enhance their skills and build conversational agents.

Pre-Requisites

1 / 2

  • Basic Python knowledge

  • Familiarity with writing prompts for LLMs

What will you learn?

Introduction to LLM APIs
Learn about the latest advancements in LLM APIs and their applications.
LangChain Expression Language (LCEL)
Understand the new syntax to compose and customize chains and agents faster.
Building Conversational Agents
Apply LCEL to build a conversational agent for tasks like tagging, extraction, tool selection, and routing.
Function Calling with LLMs
Generate structured output, including function calls, using LLMs.
Tool Selection and Routing
Learn how to use LangChain tools and LLM function calling for tool selection and routing.

Meet your instructor

  • Harrison Chase

    Co-Founder and CEO, LangChain

    Harrison Chase is a technology leader with expertise in sports, machine learning, and software engineering. He is currently the Co-Founder and CEO of LangChain.

Upcoming cohorts

  • Dates

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Free