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Functions, Tools and Agents with LangChain

The landscape of LLMs and the libraries that support them has evolved rapidly in recent months. This course is designed to keep you ahead of these changes. You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing. After taking this course, you’ll know how to: - Generate structured output, including function calls, using LLMs; - Use LCEL, which simplifies the customization of chains and agents, to build applications; - Apply function calling to tasks like tagging and data extraction; - Understand tool selection and routing using LangChain tools and LLM function calling – and much more. - Start applying these new capabilities to build and improve your applications today.

Status: Agentic Workflows
Status: LLM Application
IntermediateProject1 hour

Featured reviews

RS

Reviewed Jul 4, 2024

I thought the side by side notebook and lecture concept would fabulously well. Great job!

AD

Reviewed Feb 3, 2025

quite complex for a starting point. It takes way more than an hour to complete. One hour is only for watching the videos.

AM

Reviewed Jan 25, 2025

the the perfect combination of information and a hands-on approach

TT

Reviewed Feb 22, 2025

This course enabled me to build a conversational agent with LangChain. Worth a try!

PD

Reviewed Dec 1, 2024

very clear and useful to follow coding along.. well done

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