AI Engineering Fundamentals: Build Real LLM Apps in Python

About this course

"The AI engineer will likely be the highest-demand engineering job of the decade.

" That's the prediction from the platform Latent Space. And the data backs it up: LinkedIn's 2026 "Jobs on the Rise" report ranks AI Engineer as the #1 fastest-growing role in the world.

Companies are desperately looking for AI Engineers. Yet most developers don't even know what AI Engineering actually is. That's your opportunity. And this course is designed to help you take it: it turns you from a developer into a job-ready AI Engineer.

What makes this course different?

Most AI courses are full of theory, math, statistics, and machine learning. This course is not. As an AI Engineer, you don't train models from scratch. You build applications on top of powerful existing models. You sit on the product side of the API. So that's what we focus on: integrating LLMs into real applications.

I analyzed hundreds of real AI Engineer job postings to find out which skills companies are actually hiring for. The best part: we run this analysis together in the very first module, with an AI-powered workflow that we build ourselves. You'll be building with AI from day one.

What we build together

Knowing the right skills isn't enough. To get hired, you need to PROVE you have them. And the most convincing proof is a portfolio project you have built yourself.

So we build one together, from start to finish: an AI-powered Job Agent that scrapes AI Engineering job postings, summarizes each role and company, matches every job against your personal profile, and sends the best matches straight to your email inbox.

Along the way, you will learn:

• Talking to LLM APIs, mainly the OpenAI APIRunning local models on your own machine with OllamaPrompt engineering that actually improves your outputs
• Reliable, structur

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