I just added three AI certifications to the resume.
- AWS Certified AI Practitioner (AIP-C01) — in progress
- Microsoft Azure AI Fundamentals (AI-900) — passed
- CertNexus Certified Artificial Intelligence Practitioner (CAIP) — passed
I want to be careful about how I frame these, because the wrong framing is louder than the right one.
The certs are not the pivot. The pivot already happened, on the day my brother showed me what I’d been missing and I decided to turn my engineering practice over to AI agents. That decision is already in the work. The platform exists. The pipeline ships. The retros are written. None of that came from a study guide.
What the certs do is close a gap in the substrate. I’ve spent the last year operating an AI workforce — designing the identity, the scopes, the gates, the audit trail. The methodology is mine. But the substrate underneath — the model providers, the cloud-native AI services, the responsible-AI vocabulary — has its own grammar, and I want to be fluent in it, not just functional. The certs are the formal version of that fluency.
There’s a hiring-side reason too. Recruiters and hiring managers can’t read a platform from outside. They can read a credential. So the certs sit next to the work and say: yes, the operator running this thing can also pass the exam the rest of the field uses to filter. It’s a handshake. It costs me a few weekends. It saves me a conversation.
The order of operations matters. First the practice, then the credential — never the reverse. A cert without the work is a costume. A cert behind the work is a footer that says “and yes, I speak the language.”
That’s what these are. Footer. Substrate fluency. The methodology stays where it is.
Onward.