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Unleash the Power of Large Language Models Using LangChain
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Discover how to leverage LangChain through our Langchain course for the development of LLM-powered applications. Learn about prompt templates, chains, memory types, and tools to build AI applications.

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Overview

Unlock the potential of large language models (LLMs) with our beginner-friendly LangChain course for developers. Founded in 2022 by Harrison Chase, LangChain has revolutionized GenAI app development. This interactive LangChain course integrates LLMs into AI applications, enabling developers to create smart AI solutions. Enhance your expertise in LLM application development and LangChain development. Explore LangChain’s core components, including prompt templates, chains, and memory types, essential for aut...Show More

Unlock the potential of large language models (LLMs) with our beginner-friendly LangChain course for developers. Founded in 2022...Show More

WHAT YOU'LL LEARN

A comprehensive understanding of LangChain and its capabilities for AI application development

The ability to build robust GenAI apps and automate workflows using LangChain

Hands-on experience implementing a chatbot that responds to queries in multiple languages using the router chain in LangChain

The ability to utilize retrieval-augmented generation for efficient question-answering and information retrieval

The ability to explore LangGraph basics to create dynamic multi-agent systems for adaptable AI workflows

A comprehensive understanding of LangChain and its capabilities for AI application development

Content

14 Lessons2 Quizzes

Introduction to LangChain

3 Lessons

Get familiar with leveraging LangChain and large language models for GenAI solutions.

What is a Language Model?

What Is LangChain and Why Does It Matter?

Use Cases of LangChain

Exploring LangChain

5 Lessons

Work your way through LangChain's chat models, prompt templates, output parsers, runnables, tools, and vector stores.

Chat Models, Messages, and Prompt Templates in LangChain

Parsing Outputs with LangChain

Runnables and LCEL

Tools in LangChain

Embeddings and Vector Stores in LangChain

LangGraph Basics

5 Lessons

Explore LangGraph's dynamic multi-agent systems for adaptable AI workflows. Understand the main components of LangGraph, and how to use them.

What is LangGraph?

What Are the Main Components of LangGraph?

Why Traditional Chains Fall Short?

How To Create A Routing System?

Quiz: Introduction to LangGraph

Wrapping Up

1 Lessons

Take a closer look at integrating LangChain with LLMs, dynamic agents, and future possibilities.

Conclusion

Query CSV Files with Natural Language Using LangChain and Panel

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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