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Short Course on LangChain for LLM Application Development by DeepLearning AI & LangChain [Free for Limited Time; Beginner; 60 mins]: Join Now!

Apoorva

Jun 29, 2023
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Learners are invited for a Short Course on LangChain for LLM Application Development by DeepLearning AI in collaboration with LangChain. Check course details below!

About DeepLearning AI

DeepLearning AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. DeepLearning AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning AI has become the pathway for anyone looking to build an AI career.

About LangChain

LangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model via an API but will also:

Be data-aware: connect a language model to other sources of data
Be agentic: Allow a language model to interact with its environment

As such, the LangChain framework is designed with the objective mind to enable those types of applications.

There are two main value props the LangChain framework provides:

Components: LangChain provides modular abstractions for the components necessary to work with language models. LangChain also has collections of implementations for all these abstractions. The components are designed to be easy to use, regardless of whether you are using the rest of the LangChain framework or not.
Use-Case Specific Chains: Chains can be thought of as assembling these components in particular ways in order to best accomplish a particular use case. These are intended to be a higher-level interface through which people can easily get started with a specific use case. These chains are also designed to be customizable.

Click here to visit the official website of LangChain

Course Highlights

Learn LangChain directly from the creator of the framework, Harrison Chase
Apply LLMs to your proprietary data to build personal assistants and specialized chatbots
Use agents, chained calls, and memories to expand your use of LLMs

Learning Objectives

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.

In this course you will learn and get experience with the following topics:

Models, Prompts and Parsers: calling LLMs, providing prompts and parsing the response
Memories for LLMs: memories to store conversations and manage limited context space
Chains: creating sequences of operations
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.

At 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.

This one-hour course, instructed by the creator of LangChain Harrison Chase as well as Andrew Ng will vastly expand the possibilities for leveraging powerful language models, where you can now create incredibly robust applications in a matter of hours.