Mercedes Perez-Capilla

I trained as a computer scientist and started in software, first as a developer and later as a development lead, writing and shipping real code. Then I chose to move into business: business analysis, programme and product management, helping organisations deliver technology-driven transformation in highly regulated financial services environments.

That 15+ year journey, from the codebase to executive decision-making, has been built around one thing: using technology to drive business transformation. It also means I understand exactly what's happening under the hood.

I've built systems in regulated environments where accuracy, audit trails and accountability aren't nice-to-haves. I've built and shipped automation that turned hours of manual reporting into minutes, with a human kept in the loop wherever the stakes demanded it.

I've always believed in learning by doing. Through communities such as Represent AI and Women Defining AI, I've seen first-hand how quickly people progress once they start building for themselves.

Education has always been a passion of mine, so I built this course with Claude Code, mostly in Markdown and plain English, to learn, experiment and share with others.

To build it, I made my own Claude skills and put them to work: an automation-opportunity-finder to surface what was worth automating, a content-formatter so every lesson came out in the same clean structure, and a universal-example-tracker to keep one running story across all the lessons. I also built two more for the governance side of AI adoption: an fs-governance-tier-checker for working out the governance tier of a use case, and an ai-use-case-business-case-builder for turning that into a one-page business case. They're all open-source, so you can read and reuse them.

The fastest way to understand AI isn't to watch another video or read another article. It's to build something with it. Experiment, create something small, learn from what works and what doesn't. That's how you get to something genuinely useful.

So that's what this course gets you to do.

No coding background required, and if you have one, you'll move even faster. Practical from lesson one. Built for people who need results.