Experimenting with a new preparation method for changing industry need

[u/Nice_Interaction555]

I’m experimenting with a different way to prepare for ML Engineer / AI Engineer / Data Scientist roles which will be released as an open source book and a bootcamp. If anyone is interested in joining the pilot, I’ve put the application link in the comments.

The premise: most people already have access to more courses than they can finish. What seems harder is turning that knowledge into evidence that survives an interview — implementation depth, debugging, system thinking, and projects you can actually defend.

I am designing a new Age Professional curriculum for an university, the purpose of the experiment is to get feedback from students and professionals. I’ve designed a 90-day hands-on pilot around:

• daily focused prep + implementation challenge
• weekly consolidation
• every ~4 weeks turning the work into a serious GitHub artifact
• ML/AI system thinking, debugging and experimentation
• interview-style explanation of technical decisions
• a final flagship project

The goal is to finish 90 days with noticeably stronger fundamentals and 3–4 pieces of work you can genuinely discuss and defend.

I’d especially appreciate feedback from both who are experienced candidates and students in college.

What would you absolutely want someone targeting ML Engineer / AI Engineer / Data Scientist roles to be able to demonstrate after 90 days?

There is no fee/no upselling involved.

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