LangChain AI Handbook
Offered By: Pinecone via Independent
Course Description
Overview
The LangChain library empowers developers to create intelligent applications using large language models. It’s revolutionizing industries and technology, transforming our every interaction with technology.
Syllabus
Chapter 1
An Introduction to LangChain
An overview of the core components of LangChain.
Chapter 2
Prompt Templates and the Art of Prompts
The art and science behind designing better prompts.
Data Preprocessing with LangChain
Colab Notebook
Video Tutorial
Chapter 3
Building Composable Pipelines with Chains
Exploring how LangChain supports modularity and composability with chains.
Chapter 4
Conversational Memory
Enabling the next wave of intelligent chatbots using conversational memory.
Chapter 5
Retrieval Augmentation
Fighting hallucinations and keeping LLMs up-to-date with external knowledge bases.
Chapter 6
AI Agents
How ReAct and conversational agents can be used to supercharge LLMs with tools.
Project: Podcast Chatbot Agent
Colab Notebook
Video Tutorial
Chapter 7
Custom Tools
How we build custom tools for use with agents.
Chapter 8
Agents With Long-Term Memory
Exploring how we can build retrieval-augmented conversational agents.
An Introduction to LangChain
An overview of the core components of LangChain.
Chapter 2
Prompt Templates and the Art of Prompts
The art and science behind designing better prompts.
Data Preprocessing with LangChain
Colab Notebook
Video Tutorial
Chapter 3
Building Composable Pipelines with Chains
Exploring how LangChain supports modularity and composability with chains.
Chapter 4
Conversational Memory
Enabling the next wave of intelligent chatbots using conversational memory.
Chapter 5
Retrieval Augmentation
Fighting hallucinations and keeping LLMs up-to-date with external knowledge bases.
Chapter 6
AI Agents
How ReAct and conversational agents can be used to supercharge LLMs with tools.
Project: Podcast Chatbot Agent
Colab Notebook
Video Tutorial
Chapter 7
Custom Tools
How we build custom tools for use with agents.
Chapter 8
Agents With Long-Term Memory
Exploring how we can build retrieval-augmented conversational agents.
Taught by
James Briggs and Francisco Ingham
Related Courses
Genomic Data Science and Clustering (Bioinformatics V)University of California, San Diego via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Data Mining Project
University of Illinois at Urbana-Champaign via Coursera Advanced Business Analytics Capstone
University of Colorado Boulder via Coursera Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法
Tsinghua University via edX