4.5
Beginner
2h
Updated 1 month ago
Unleash the Power of Large Language Models Using LangChain
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.
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 automating workflows and managing conversational contexts.
Learn how to connect language models with tools and data via APIs, utilizing agents to expand your applications. You’ll also try out RAG and see how it helps answer questions. Additionally, the course covers LangGraph basics, a framework for building dynamic multi-agent systems.
Understand LangGraph’s components and how to create robust routing systems.
Unlock the potential of large language models (LLMs) with our beginner-friendly LangChain course for developers.
Founded in 20...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
Using retrieval-augmented generation to answer questions and find information retrieval efficiently
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
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Content
1.
Introduction to LangChain
3 Lessons
Get familiar with leveraging LangChain and large language models for GenAI solutions.
2.
Exploring LangChain
5 Lessons
Work your way through LangChain’s chat models, prompt templates, output parsers, runnables, tools, and vector stores.
3.
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.
4.
Advanced LangGraph
6 Lessons
Master the integration of multiple tools in LangGraph for dynamic AI workflows.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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