Beginner Free 9 hours

LangChain Fundamentals: Building LLM Pipelines

Prompts, runnables, tools, memory, and a grounded application.

A rigorous beginner course on composable LLM pipelines using models, prompts, LCEL chains, structured output, memory, tools, and a first retrieval workflow. The curriculum is grounded in the curated technical references and preserves their technical depth, code, diagrams, decision rules, and failure analysis. Every lesson adds objectives, an applied lab, review questions, and concrete completion evidence. The course closes with a substantial capstone: Build a cited document assistant with structured output, a retriever, one safe tool, and a repeatable evaluation set.

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What you will learn

Leave with a working mental model.

  1. 01 Explain LangChain's runnable and composition model
  2. 02 Configure providers, prompts, chains, and typed output parsers
  3. 03 Add bounded memory and well-described tools
  4. 04 Build a small retrieval-backed application with observable inputs and outputs

Before you begin

Prerequisites

  • Python fundamentals
  • Basic HTTP and API concepts
  • Access to an LLM provider or compatible local model

Curriculum

Course contents

7 modules · 18 lessons

01 Module 1: Foundations 4 lessons
  1. 01 What Is LangChain Preview
  2. 02 Why LangChain Exists Preview
  3. 03 LangChain Core Concepts
  4. 04 LangChain Architecture Overview
02 Module 2: Setup, Models, and Prompts 3 lessons
  1. 01 LangChain Installation and Setup
  2. 02 LangChain Models and Providers
  3. 03 LangChain Prompts and Templates
03 Module 3: Chains and Structured Output 2 lessons
  1. 01 LangChain Chains
  2. 02 LangChain Output Parsers
04 Module 4: Memory and Conversation State 1 lesson
  1. 01 LangChain Memory
05 Module 5: Tools and Bounded Agents 2 lessons
  1. 01 LangChain Tools and Toolkits
  2. 02 LangChain Agents
06 Module 6: First Retrieval Pipeline 4 lessons
  1. 01 LangChain Document Loaders
  2. 02 LangChain Text Splitters
  3. 03 LangChain Vector Stores and Retrievers
  4. 04 LangChain Real-World Use Cases
07 Module 7: Capstone Studio 2 lessons
  1. 01 Capstone Brief and Architecture
  2. 02 Validation, Review, and Definition of Done