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Practical LLM systems course

Build with LLMs.
Understand real AI systems.

A practical learning environment for developers and technology professionals to see how LLM systems actually behave — from tokens and prompts to RAG, tooling, and production patterns, with an interactive playground in every lesson.

Free to use during beta.

14

Lessons

5

Modules

50+

Playground examples

What you'll explore

From tokens and context windows to RAG and production patterns — everything you need to reason about, design, and ship real LLM-powered applications.

How LLMs Work

Understand transformers, tokenization, and next-token prediction

Prompt Engineering

Master system prompts, few-shot learning, and structured outputs

Function Calling

Enable LLMs to interact with external APIs and tools

Chain of Thought

Improve accuracy with step-by-step reasoning techniques

RAG Systems

Build retrieval-augmented generation for accurate responses

Production Skills

Learn streaming, evaluation, and cost optimization

Curriculum

Five modules: foundations, prompting, structured outputs, advanced techniques, and production systems — all framed for people building real AI-powered products.

Module 1

Foundations

1
Introduction: How LLMs Work15 min
2
Tokens: The Currency of LLMs12 min
3
Controlling the Model: Generation Parameters15 min

Module 2

Communicating with LLMs

4
Anatomy of a Good Prompt18 min
5
System Prompts and Personas15 min
6
Few-Shot Learning12 min

Module 3

Structured Outputs

7
JSON Mode and Structured Output15 min
8
Function Calling20 min

Module 4

Advanced Techniques

9
Chain of Thought Reasoning15 min
10
Managing the Context Window15 min
11
Embeddings and Semantic Search18 min

Module 5

Production Systems

12
Retrieval-Augmented Generation (RAG)20 min
13
Streaming Responses12 min
14
Evaluation and Cost Optimization18 min

Ready to build with LLMs?

Start with the first lesson and experiment your way toward production-ready patterns — at your own pace, with practical, system-focused examples.