A curriculum built for you.
Not a course you join.
A curriculum we write once we’ve met you.
- Custom curriculum
- Every class live
- Mapped to your target role
- Taught by working practitioners
A short call, no obligation.
You don’t have to start over
to work somewhere like this.
We don’t sell seats on a course. We start with the job someone actually wants, then work backwards from it.
These are the companies our people work at today.
What actually goes into
a custom curriculum?
The full breakdown ‚Äî how we scope it, what you build, and how we map it to the role you’re aiming at.
PDF · takes 20 seconds
Get the brochure
Tell us where to send it. We’ll email the PDF and start the download straight away.
Your download has started.
We’ve also emailed you a copy. If it hasn’t arrived in a few minutes, check spam.
How is Zomiga actually different?
-
01
Not the same course for everyone
Most programmes hand you a syllabus that was finished before you existed. Yours doesn't get written until we understand what you already know and what's actually missing. Nobody gets a copy of someone else's.
-
02
We start from the job, not the subject
The wrong question is "what should I learn about AI?" The right one is "what does the role I want actually require?" We work backwards from a real job description. The goal is that you switch roles — not that you finish our course.
-
03
Every class is live, taught by people doing the work
No pre-recorded library you'll stop opening after week two. Live sessions with practitioners building this for a living, not career instructors who left the industry years ago.
-
04
You finish with something you built
Not a certificate. A working system, a deployed model, a configured environment — whatever your track produces, it's real, it's yours, and you can open it in an interview and talk through every decision in it.
Eight programmes. None of them off the shelf.
Each one is a starting point, not a syllabus. We shape it around what you already know and the role you're aiming at.
AI for QA
Your test suite is about to be rewritten by someone — better it's you. Agentic test generation, self-healing suites, and evaluation that catches what a script never will.
You'll build an agent that writes and repairs its own testsAI Architect on AWS & Azure
For people now being asked to approve AI designs they've never shipped. Reference architectures, model and vector-store selection, cost ceilings, and the security answers your risk team will demand.
You'll build a reviewed architecture for a real workloadAI in Google Cloud
Vertex AI, Gemini, grounding and retrieval on Google's stack — deployed, monitored and billed, rather than demoed once in a notebook and never run again.
You'll ship a grounded assistant on Vertex AIAWS Cloud for Beginners
The foundation everything else stands on. Core services, networking, IAM and cost — taught to adults with jobs, not drilled for an exam you'll forget.
You'll build and secure your first production accountAWS Cloud DevOps
Pipelines, infrastructure as code, observability and incident response — plus an honest map of where AI helps in a delivery workflow and where it quietly makes things worse.
You'll build a full pipeline with rollback and alertingSAP S/4HANA — FICO
For finance and ERP people. Core S/4HANA finance, what migration actually involves, and where AI is landing first inside enterprise finance — closer than most CFOs think.
You'll configure and document a working finance moduleEnterprise SaaS Solutions
How enterprise software is really bought, integrated and defended. For people who sell, implement or own these products and keep getting out-argued by the technical side of the room.
You'll build an integration plan you can defend in a reviewFrom Non-IT to IT
Coming in from finance, operations, teaching, support or the trades. A route in that treats knowing how a business actually runs as the asset it is — not a gap to apologise for.
You'll finish with a portfolio and a target roleReady to join Zomiga and take your first step towards success?
Speak to an expertWhat people said afterwards
“I'd passed the AWS Solutions Architect exam two years ago and still couldn't design anything real. Six sessions in I was rebuilding our ingestion pipeline properly. The difference was having someone review what I'd actually written.”
“My team was moving to Azure and I was the one expected to have opinions. I came in able to spell Azure OpenAI and left having deployed a retrieval system that's still running in production.”
“What I didn't expect was being told which parts I could skip. I'd budgeted for twelve weeks of things I already knew. They cut half of it before we started.”
“Fifteen years in QA and I genuinely thought I was finished. The agentic testing work gave me something to show in interviews instead of explaining what I used to do.”
“The cost module alone paid for the programme. We'd been running inference through the wrong tier for months and nobody had checked.”
“Live sessions mattered more than I expected. I could ask the stupid question in the moment instead of pausing a video and giving up.”