Advanced Free 8 hours

Advanced LangChain Engineering

Agents, retrieval, tracing, evaluation, resilience, and deployment.

A rigorous advanced course on production LangChain composition, agent and retrieval design, tracing, evaluation, resilience, streaming, and deployment. 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: Ship and evaluate a production-style LLM service with retrieval, tools, tracing, typed contracts, fallbacks, and deployment controls.

Enroll free View curriculum

What you will learn

Leave with a working mental model.

  1. 01 Architect complex runnable graphs and controlled agent loops
  2. 02 Tune retrieval, memory, tools, and structured-output recovery
  3. 03 Instrument traces and build meaningful evaluation datasets
  4. 04 Deploy resilient streaming services with cost and failure controls

Before you begin

Prerequisites

  • Ability to build a LangChain pipeline
  • Python application development
  • Basic RAG and tool-calling knowledge

Curriculum

Course contents

7 modules · 17 lessons

01 Module 1: Architecture and Composition 3 lessons
  1. 01 LangChain Architecture Overview Preview
  2. 02 LangChain Chains Preview
  3. 03 LangChain Output Parsers
02 Module 2: Agent, Tool, and Memory Engineering 3 lessons
  1. 01 LangChain Agents
  2. 02 LangChain Tools and Toolkits
  3. 03 LangChain Memory
03 Module 3: Retrieval System Design 3 lessons
  1. 01 LangChain Document Loaders
  2. 02 LangChain Text Splitters
  3. 03 LangChain Vector Stores and Retrievers
04 Module 4: Observability and Evaluation 2 lessons
  1. 01 LangChain Callbacks and Tracing
  2. 02 LangChain Evaluation
05 Module 5: Production and Failure Control 3 lessons
  1. 01 LangChain Production and Deployment
  2. 02 LangChain Common Pitfalls
  3. 03 LangChain Models and Providers
06 Module 6: Applied Architectures 1 lesson
  1. 01 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