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Tech SkillsPython LangChain Mastery
ai-engineeringIntermediate

Python LangChain Mastery

Build Production AI Applications with LangChain

45 hours
32 lessons
8 modules
0 enrolled

Master LangChain from fundamentals to production. Learn to build chains, RAG systems, agents with tools, and deploy scalable AI applications. Every lesson includes hands-on Python code challenges.

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What you'll learn

  • Hands-on coding challenges
  • Real-world project examples
  • Interview preparation tips
  • Best practices & patterns
Certificate on completion
Interactive code challenges

Course Syllabus

🚀
Module 1

LangChain Fundamentals

Get started with LangChain - understand the core concepts, set up your environment, and make your first LLM calls

4 lessons

~180 min

1

Introduction to LangChain

4 steps · 20 min

2

Working with LLMs

4 steps · 25 min

3

Prompt Templates

4 steps · 25 min

4

Output Parsers

4 steps · 20 min

🔗
Module 2

Chains & LCEL

Master LangChain Expression Language and build sophisticated chain pipelines

4 lessons

~180 min

1

LCEL Fundamentals

4 steps · 25 min

2

Parallel and Sequential Chains

4 steps · 25 min

3

Branching and Routing

4 steps · 25 min

4

Error Handling in Chains

4 steps · 20 min

🧠
Module 3

Memory & Chat History

Implement conversation memory for stateful AI applications

4 lessons

~180 min

1

Introduction to Memory

4 steps · 20 min

2

Buffer Memory Types

4 steps · 25 min

3

Summary Memory

4 steps · 25 min

4

Persistent Memory

4 steps · 25 min

📖
Module 4

RAG: Retrieval Augmented Generation

Build powerful question-answering systems with document retrieval

4 lessons

~200 min

1

Introduction to RAG

4 steps · 25 min

2

Embeddings and Vector Stores

4 steps · 30 min

3

Document Loaders and Splitters

4 steps · 25 min

4

Building RAG Pipelines

4 steps · 30 min

🤖
Module 5

Agents & Tools

Build autonomous agents that can use tools to accomplish tasks

4 lessons

~200 min

1

Introduction to Agents

4 steps · 25 min

2

Creating Custom Tools

4 steps · 30 min

3

Building Complete Agents

4 steps · 30 min

4

Agent Best Practices

4 steps · 25 min

🎓
Module 6

Advanced Patterns

Master advanced LangChain patterns for complex applications

4 lessons

~180 min

1

Structured Outputs

4 steps · 25 min

2

Streaming and Callbacks

4 steps · 25 min

3

Multi-Agent Systems

4 steps · 30 min

4

Evaluation and Testing

4 steps · 25 min

🚀
Module 7

Production & Deployment

Deploy LangChain applications to production with best practices

4 lessons

~180 min

1

Building APIs with LangServe

4 steps · 25 min

2

Caching and Rate Limiting

4 steps · 25 min

3

Monitoring and Debugging

4 steps · 25 min

4

Production Error Handling

4 steps · 25 min

🏆
Module 8

Real-World Projects

Build complete LangChain applications from scratch

4 lessons

~240 min

1

Project: Conversational Chatbot

4 steps · 45 min

2

Project: Document Q&A System

4 steps · 45 min

3

Project: AI Assistant with Tools

4 steps · 45 min

4

Capstone: Full Application

4 steps · 60 min