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AI Mini-Courses

AI Engineering made simple, short, and useful.

📖 Read online: lokumai.github.io/ai-minicourses

A series of mini-courses from beginner to advanced to help you learn practical topics in modern AI engineering. Each course is short, easy to understand, and includes real-world examples, clear visuals, and extra reading materials. It is the fastest way to master what you actually need on the job.

Structure

Category Modules Description
Fundamentals 1-7 LLMs, training, RAG, tools, memory, agents, multi-agent systems.Start here.
[NOT READY] Intermediate 8-14 Prompt engineering, context engineering, coding agents, harness engineering, security, loop engineering, personal agents.
[NOT READY] Expert 15-23 Advanced UI, architectures, tools, memory, multi-agent, prompting, context engineering, harness engineering, deployment.
[NOT READY] Ecosystem 24-28 Agent frameworks, inference providers, inference engines, UI design, observability.
[NOT READY] Protocols & Specs 29 A single reference of every protocol and spec mentioned across the series.
[NOT READY] Optional 30-31 Human-in-the-loop and runtime topics that round out the series.

How to Use

  1. Start with Fundamentals to learn must-know concepts in AI Engineering.
  2. Move on to Intermediate to build your core skills.
  3. Jump to Ecosystem to learn the tools and frameworks needed to become a well-rounded AI engineer.

🎉 Congrats! You are now an AI engineer. You can now build your own AI agents and systems.

  1. ⚜️ [ADVANCED] ⚜️ If you want to become a rare, highly-skilled AI engineer, take the Expert course to learn advanced topics.

Local Development

The courses are plain markdown, published as a website with MkDocs Material. To preview the site locally:

# one-time setup
python3 -m venv .venv
.venv/bin/pip install mkdocs-material

# run the local server
.venv/bin/mkdocs serve

Then open http://127.0.0.1:8000 — the site live-reloads whenever you save a markdown file.

Before opening a PR, make sure the strict build passes (broken links fail CI):

.venv/bin/mkdocs build --strict

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AI Engineering made simple, short, and useful.

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