LangChain Mastery Series
This series is designed to take you from zero to hero in LangChain, covering everything from the basics to advanced applications. Whether you're building chatbots, RAG systems, or intelligent agents, this course will equip you with the skills to create powerful LLM-powered applications.
1. Introduction to LangChain
Understand what LangChain is, why it exists, and how it powers real-world AI apps like chatbots, RAG systems, and intelligent agents.
2. Core Concepts
Explore the foundation: chains, memory, agents, tools, document loaders, and vector stores.
3. LangChain Components
Dive deep into prompt templates, memory modules, retrievers, toolkits, and LLM integrations.
4. Building Applications
Step-by-step guides to build chatbots, QA over docs, RAG workflows, agents with tools, and summarization apps.
5. Advanced Topics
Customize chains and agents, monitor and evaluate outputs, scale to production, and integrate multimodal inputs.
6. Practical Implementation
Hands-on projects, real coding walkthroughs, best practices, and debugging strategies.
7. Integrations and Ecosystem
Connect LangChain with APIs, databases, tools like Streamlit or Gradio, and explore LangSmith and LangServe.
8–12. From Real-World Use to Certification
Case studies, deployment lessons, cost optimizations, ethics, community support, and your capstone project.