I found one of the most comprehensive AI engineering guides ever.

And the majority of the resources are FREE!

→ https://github.com/louisfb01/start-ai-engineering

Most people trying to learn AI engineering end up doing the same thing:

Watching random YouTube videos

Following every new framework

Jumping between tutorials

Never building enough

This guide takes a much more structured approach.

Instead of organizing resources by popularity...

It organizes them around the skills you need.

For example:

Context engineering

RAG

MCP

Agent architectures

Evals & observability

Fine-tuning

Deployment

AI coding agents

But what I liked most...

It points you toward projects that require you to build systems.

I was also happy to see that Louis-François Bouchard (@Whats_AI ) included our Agent Engineering: Building Multi-Agent Systems course as one of the recommended advanced resources.

To sum up:

The AI stack changes every few months.

The best investment isn't memorizing another framework...

It's building enough systems to understand the underlying patterns.

If you're starting your AI engineering journey or helping someone else get started, this is worth bookmarking.

Check it out here: https://github.com/louisfb01/start-ai-engineering

P.S. Massive thank you to Louis-François Bouchard (@Whats_AI ) for putting this together and sharing my course.