AI Interview MasteryIntermediate → SeniorNEW

LangChain Mastery

Chains, prompts, memory, agents, and tools in LangChain. The most comprehensive LangChain interview preparation course — from basic LLMChain to production multi-agent systems with observability.

4.8rating4,210 students2h 50m total33 lessons

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What you'll learn

Understand LangChain's core primitives: models, prompts, chains, tools

Build sequential and parallel chains with LCEL (LangChain Expression Language)

Implement different memory types: buffer, summary, vector-store memory

Create agents with tool calling and custom tool definitions

Build a full RAG pipeline using LangChain document loaders and retrievers

Add observability with LangSmith tracing

Final Project

Build a multi-agent customer support bot using LangChain agents, tools, and memory — with LangSmith tracing enabled

Curriculum

33 lessons · 2h 50m

What is LangChain and Why Does It Exist?

10 min

Models, Prompts, Chains, Tools: The Four Primitives

12 min

LCEL: LangChain Expression Language Overview

12 min

The Runnable Interface: pipe(), invoke(), stream()

10 min

When to Use LangChain vs Raw OpenAI SDK

10 min

Course Info

Lessons33 lessons

Total time2h 50m

LevelIntermediate → Senior

Students4,210

Rating4.8 / 5.0

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