LangChain Course
Complete Learning Path
Free comprehensive LangChain tutorials from beginner to advanced. Learn AI development, build RAG systems, and master vector databases with hands-on projects
Your LangChain Learning Journey - 15+ Hands-On Tutorials
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Phase 1
4 lessons
🔗
Phase 2
6 lessons
🎯
Phase 3
5 lessons
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Phase 1
AI & LLM Fundamentals
1.1 hours
Beginner
Understanding AI, Large Language Models, AI APIs, Prompt Engineering, and Model Selection
What you'll learn:
- Understanding AI and LLMs
- AI API Fundamentals
- Prompt Engineering Mastery
- Working with Different Models
📚 4 lessons⏱ 1.1 hours
Start Phase 1🔗
Phase 2
LangChain Essentials
7.2 hours
Intermediate
Complete LangChain tutorial series - learn chains, memory, agents, and tools step-by-step
What you'll learn:
- LangChain Architecture & Setup
- Prompt Templates & Output Parsers
- Building AI Workflows with Chains
- Memory & Conversation Management
- Agents & Tools Integration
- Document Processing & Text Splitting
📚 6 lessons⏱ 7.2 hours
Start Phase 2🎯
Phase 3
RAG Applications
10 hours
Advanced
RAG tutorial series - build with ChromaDB, Pinecone, Weaviate, and implement advanced techniques
What you'll learn:
- Vector Embeddings & Similarity Search
- Vector Databases & Storage
- Building Your First RAG System
- Advanced RAG Techniques
- RAG Evaluation & Optimization
📚 5 lessons⏱ 10 hours
Start Phase 3📚 How to Get the Most from This LangChain Course
🎯 Start from the Beginning
Learn LangChain fundamentals first. Each tutorial builds on previous concepts for optimal learning.
💻 Code Along
Don't just read—type out the code examples and experiment with modifications.
🏗️ Build Projects
Build RAG systems with ChromaDB, create agents, and deploy real AI applications.