Our AI Project Challenge is growing in popularity.
Almost every week I find myself launching a new cohort.
And I’m learning a lot about the trajectory of the industry from our participants.
If you’re on the fence about learning AI Engineering, here’s something worth seeing.
People from all areas of tech are jumping on this skillset — right now.
Here’s the mix of backgrounds from just one of our recent cohorts:
- Data analyst from Ohio
- Developer from Denmark
- Growth marketer from France
- Data engineer from the Netherlands
- Senior data engineer from California
- Financial analyst from California
- Data scientist from the UK
- Business analyst (supply chain) from Seattle
Same Cohort. One goal: learn AI Engineering.
Eight completely different starting points.
A year ago, this room would have been full of ML engineers and Data Scientists.
Not anymore.
AI Engineering is increasingly becoming a skill for everyone in Tech.
LLMs & Agentic are perhaps the strongest skills for future-proofing your career.
No matter your background, you can build real AI applications.
You need curiosity. A use case. And the willingness to figure it out as you go.
The door is open,
Kirill
P.S. If you want to get hands-on with exactly this — building real AI tools on real data — our next AI Engineering Sprint cohort is open 👉 check it out here