AI Engineering Simply Explained in Under 17 Mins

A mind map for learning how AI products are built

You’ve probably already seen tons of AI engineer roadmaps and recycled content that throw RAG, LLMs, transformers, agents, evals, MCP blah blah blah… at you like a scattered checklist.

I’ve always been a little averse to roadmaps. They look clean, but they often make learning feel more linear than it really is. Learn this, then this, then this, and somehow you’re supposed to know how to build.

But humans don’t really learn that way. We learn by connecting ideas. We remember through stories, patterns, examples, and relationships between concepts. That’s why mind maps often work better, especially for messy fields like AI engineering.

What I wanted to create was more of a mind map, basically a connected set of ideas you can keep coming back to, even as new concepts come in. Something that builds your foundation instead of confusing you further.

Here’s my attempt to explain what it takes to become a good AI engineer in the most beginner friendly way possible.

And doing all of this through a connected mind-map, over scattered ideas. The goal is to help you build a strong foundation that can take you anywhere, without memorizing endless roadmaps and disconnected concepts.

Here’s a snippet of the topics covered, do watch the video to go deeper (it’s only 17 mins long and super value packed!)

Do check it out, and send it to anyone who’s feeling overwhelmed and struggling to connect the ideas together.