
TL;DR: I passed the Cisco Certified AI Technical Practitioner certification (exam 810-110 AITECH). After months of VIBE coding apps for the house and building the AI harness around them, the exam was a chance to check that work against a formal list of what a practitioner should know.

I passed the Cisco Certified AI Technical Practitioner certification. Oct 26, 2026. Though I do a lot at home, as I put into other post, I stumble into doing things right, verse knowing them. Studying was mostly learning the professional terms for the prompt types Sequential, Chain, Few-Shot etc., and learning new items like RAG Vector Data Bases and token economics.
It is a single exam, 810-110 AITECH, 60 minutes, pass or fail. Cisco lists six areas: generative AI models, prompt engineering, AI ethics and security, data research and analysis, AI for code and workflow optimization, and agentic AI (AI that takes actions on its own, not just answers questions).
I wrote about two months of VIBE coding a house last week. Reading the exam outline afterwards, most of the six areas matched something I was already doing at home.

Leading a team of System Engineers at Cisco, in the AI era it was good to learn the formal names and classifications for things that we do, but can now label. I have not been big on prompt engineering, but the course material on Cisco-U helped me understand the value in business of proper prompting, to get Human in the loop, and on the loop, and lower latency when needed.
A footnote on how you are reading this: the first draft was written by an AI from my wiki and my notes, then edited by me for the parts only I know.