How To Break Into AI Engineering

Discover the 5-step system busy engineers use to land high-paying AI roles in 2026 — without going back to school.

Kirill Eremenko teaching AI engineering on stage

Led by Kirill Eremenko
AI Engineer & Founder of SuperDataScience

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What you're going to learn in this masterclass

The 5-step system for landing high-paying AI Engineering roles
The skills that actually get you hired as an AI Engineer, and how to build them fast
How to turn your existing engineering experience into an unfair advantage
How to build a portfolio that will get opportunities coming to you

Who is this for?

Software engineers who want to move into high-paying AI engineering roles

Developers who use AI tools but want to build production AI systems

Data engineers stuck in their careers looking to transition into AI roles

Technical professionals who have taken courses but never shipped an AI project

People who want to be part of an engaged, supportive builder community

Engineers who are serious about landing a high-paying AI role in the next 6 months

Hi, I'm Kirill Eremenko

I started out as a consultant, taught myself engineering, and went on to build one of the largest data & AI education communities in the world.

Today, over 3 million students have learned from our programs, and our graduates work at companies like Amazon, Google, Meta, Accenture, and NASA.

In this live masterclass I'll show you exactly what's working right now for software & data engineers moving into AI Engineering roles — no recycled advice, no theory for the sake of theory. Just the path, the skills, and the projects that get you hired.

What our graduates say

Thanks to their high-quality content and expert guidance, I was able to land a role as an AI Engineer working with LLMs. SuperDataScience played a key role in getting me here.

Levi Garcia

I have had fun writing code every single day, learned a tremendous amount about how LLMs work, and I am 100% more confident in my ability to build with AI. If you're on the fence about joining, take my word for it: this will transform how you understand AI.

Alex Olthoff

So much learned in what seems like very minor effort. You learn the important parts about LLMs, RAG, customization, tool calling, digital twins, and deploying your apps — real-world, ready-to-deploy experience.

Jorge