Pathway 01 / Build
Generative AI Application Engineer
Design reliable, evaluated AI features and ship them inside polished products.
$4,999.99Course tuition
Career learning / 01
Make AI capability visible.
Build the practical systems, portfolio evidence, and responsible habits that help your next conversation start with what you can do.
Five 10-business-day online-first cohorts · live sessions in Central Time
5career pathways, from first prototype to production
30distinct portfolio artifacts across five syllabi; six per pathway
4.9/5mentor rating from our learning studio
The course bench
Choose the system you want to make real.
Each pathway is organized around a role, a working toolset, and a sequence of artifacts you can explain in a portfolio conversation.
Pathway 02 / Orchestrate
Agentic AI Automation Engineer
Turn repeatable business processes into supervised, measurable agent workflows.
$4,999.99Course tuition
Pathway 03 / Discover
Applied Machine Learning & Data Science
Move from messy questions to defensible analysis, tested models, and clear recommendations.
$4,999.99Course tuition
Pathway 04 / Operate
Production MLOps & AI Platform Engineering
Build the pipelines, release paths, and reliability practices that make AI useful at scale.
$4,999.99Course tuition
Pathway 05 / Assure
Responsible AI, Security & Governance
Make risk, privacy, fairness, and assurance part of how intelligent systems get shipped.
$4,999.99Course tuition
Why this studio
Learn like the work is real.
The difference is not more content. It is the habit of making decisions, leaving evidence, and knowing where a system should not be trusted.
Read our learning philosophy- 01
Portfolio before polish
Every module leaves behind a brief, service, analysis, report, or control artifact you can show and explain.
- 02
Tools in their natural habitat
Practice the handoffs between code, APIs, data, evaluation, deployment, and the people who use the result.
- 03
Guidance with edges
Mentor notes help you see tradeoffs, failure modes, and responsible constraints—not just happy paths.
- 04
Outcomes you can defend
Describe what you built, why it works, how you tested it, and where your judgment mattered.
The learning loop
Four moves from question to evidence.
Spend each intensive building, testing, and documenting a system you can explain.
01
Frame
Choose a useful problem and make the constraints visible.
02
Build
Work through the tools and patterns behind a credible first version.
03
Interrogate
Evaluate quality, risk, cost, and the assumptions hiding in the edges.
04
Explain
Package the artifact and the decisions so another person can trust your work.
“The most useful thing I carried forward was not a prompt. It was a way to explain my choices.”
The guide at the bench
Meet the learning studio.
Our instructor team brings product engineering, data practice, platform operations, and responsible technology into one shared curriculum.
You will not be promised a job or an income. You will be asked to make work that earns a thoughtful conversation.
Meet the studio →Course tuition / $4,999.99
Bring a real question to the workbench.
Each pathway costs $4,999.99 USD. Cohort timing and format are confirmed before we send a secure card or ACH invoice.