Which AI Certification Should You Get?
The Honest Answer.

There is no universally best certification. AWS Machine Learning Specialty or Azure AI Engineer are valuable if your target companies use those cloud platforms. TensorFlow or PyTorch certifications matter for deep learning research roles. For most AI engineering positions building LLM applications, no certification is as valuable as a deployed portfolio project. Hiring managers care about what you can build, not what tests you passed.

Build portfolio projects first. Here is why: certifications prove you studied content. Portfolio projects prove you can ship working software. When hiring managers evaluate candidates, they look for evidence of practical ability. A deployed RAG system or AI agent demonstrates skills that certifications cannot. If you have time after building 2-3 strong projects, then consider a certification that aligns with your target companies.

Cloud certifications are worth it in specific situations. If your target companies use AWS heavily, the AWS Machine Learning Specialty shows you understand their ecosystem. Same for Azure AI Engineer if targeting Microsoft shops. But these certifications teach platform-specific implementations. The underlying ML skills transfer, but the tooling does not. For generalist AI roles, platform-agnostic skills serve you better.

Framework certifications are most valuable for research-oriented ML roles where you train models from scratch. For AI engineering roles focused on LLM applications and integrations, these certifications matter less. Most AI engineering work uses pre-trained models and APIs rather than training custom neural networks. The certification might impress some hiring managers but portfolio projects demonstrating framework proficiency are more convincing.

You'll spend 3 hours every Tuesday in the live session and roughly 3 hours of async work in between, for 8 weeks. The Tuesday session time is fixed.

It probably isn't, and you should hold the money. Most cohort dropouts are people who couldn't articulate what they were shipping when they signed up. That's why the consult exists, and why I turn down most applications. If we get on the call and you can't tell me what you'll have shipped at the end of week 8, I'll point you to the AI Native Engineer community until you can.

Yes, the cohort works for people shipping their first serious AI system whether the goal is to land a senior role or to launch a product. The shipped system serves both equally well.

You need to be able to code in Python or TypeScript. Complete beginners can follow the classroom they get access to before the cohort sessions to come in well-prepared.

It's a four-figure investment that we discuss during the 30-minute consult, alongside whether the cohort is the right fit for your project.

Yes, most attendees do. The live session is one Tuesday a week and the async work fits around your existing schedule, as long as you can carve out roughly 6 hours a week.