Mastering LangChain

Mastering LangChain is a course that will teach us how to build context-aware AI apps using LCEL, Runnables, memory, RAG, agents, and LangGraph through real examples in document handling and decision-making.

Interested in this course? Email us at [email protected]

Course Curriculum

1. Introduction
2. Learning Objectives
1. Introduction to LangChain
2. Agentic AI Implementations
3. Different Types of Models
4. Introduction to LangChain
1. Chat Models
2. Chat Models
3. Prompt Templates
4. Prompt Templates
5. Advance Prompt Templates
6. Advanced Prompt Templates
7. Chat Models & Prompt Templates
1. Example Selectors
2. Example Selectors
3. Example Selectors
1. Document Loaders
2. Document Loaders
3. Text Splitters
4. Text Splitters
5. Document Loaders & Text Splitters in LangChain
1. Output Parsers
2. Output Parsers
3. Output Parsers in LangChain
1. Retrievers
2. Retrievers
3. Retrievers
1. Vector Stores
2. Vector Stores
3. Vector Stores
1. Chains
2. Chains
3. Chains and LCEL in LangChain
1. Understanding Agents
2. Customizing Agents with Tools
3. Getting Started with LangGraph
4. Getting Started with LangGraph
5. RAG Agent with LangGraph
6. Dynamic Decision-Making Agents
7. Multi-Agent Collaboration
8. Agents and LangGraph
1. What is Memory
2. Short-Term Memory
3. Long-Term Memory
4. Memory Design
5. Simple Memory Implementation
6. Vector Stored Memory
7. Memory and Conversation History
1. Document Splitters in LangChain
2. Managing Episodic Memory
3. LangGraph Code Assistant
4. Memory
1. LangChain Fundamentals
2. Reference Materials
1. Graded Quiz
1. Course Summary

About this course

Free
56 lessons
8.5 hours of video content

Mastering LangChain

Course Curriculum

Getting Started

Introduction to LangChain

Chat Models & Prompt Templates

Example Selectors

Document Loaders & Text Splitters

Output Parsers

Retrievers

Vector Stores

Chains & LangChain Expression Language (LCEL)

Agents and LangGraph

Memory & Conversation History

Supplementary Exercises

Resources

Self-Assessment

Wrap Up

About this course