DeepLearning.AI
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.
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.
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.
1 / 2
Basic Python knowledge
Familiarity with writing prompts for LLMs
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.
Cost
Free
Duration
Dates
Location