Studio, not classroom
Built by practicing Data & AI engineers who’ve delivered real-world pipelines, analytics systems, and AI products. You’ll learn by doing — from foundations to deployment.
Studio, not classroom
Built by practicing Data & AI engineers who've delivered real-world pipelines, analytics systems, and AI products. You'll learn by doing — from foundations to deployment.
Concept-first, tool-agnostic
Principles before products. You'll swap vendors confidently because you understand what's underneath.
Hands-on labs, end-to-end
Build and deploy real pipelines, real RAG systems, real agents — against production-scale data.
Azure-first + cross-cloud
Deep Azure Synapse and AI Foundry. Every service mapped to its AWS equivalent so you stay portable.
LLMs, vectors & agents
Modern AI taught as engineering, not magic — embeddings, retrieval, MCP, observability.
Learn from industry leaders
Courses are designed and taught by tech leaders and experienced Data & AI practitioners — senior engineers shipping the work they teach in production today. The live instructor lineup for each cohort is shared with admitted members.
From rows of data, rows of opportunity
See how our graduates transformed their careers and doubled their salaries. Representative outcomes; references available on interview.
Senior Data Scientist · $125K
Data Engineer · $135K
Senior Analytics Manager · $95K
Questions we actually get
Q·01Who is this for?
Mid-career software engineers, data analysts, and analytics engineers who are tired of tutorial-grade work. If you can already write Python and SQL, and you've touched the cloud at least once, you'll fit.
Q·02Why Azure-first? I work on AWS.
Because Azure is where most enterprise AI contracts actually land today, and the teaching resources are more production-honest. For every Azure service, we cover the AWS equivalent — S3 Vectors, Bedrock, Bedrock Agents, Glue — and one capstone is fully AWS if you prefer.
Q·03What's the time commitment?
18 hours a week, give or take. Two live studio sessions (2 hours each), plus build time. If you can't commit to that, the program won't work for you.
Q·04Is there a job guarantee?
No. Job guarantees in bootcamps are marketing, not engineering. What we do promise: real artifacts, a defensible portfolio, introductions to working engineers, and an honest reference from someone who's seen you ship.
Q·05Can my employer pay?
Yes, and many do. We provide invoicing, W-9, and a 1-page ROI brief tailored to data platform and AI platform teams. Ask during the interview.
Q·06What if I fall behind?
Talk to me. One cohort deferment is allowed with no fee. After that, we work out a path together — but we don't pretend you finished when you didn't.
Ready to transform your career?
Join thousands of professionals who have successfully transitioned into high-paying data careers. Cohort 04 start date: TBD — applications reviewed on a rolling basis.