Frontend
Interfaces you can ship: component-driven pages, responsive UI, accessibility checks, and portfolio-ready projects.
No vague promises. You will practice real delivery work across the program, then show it in an Evidence Panel that connects what you built to what it proves.
Interfaces you can ship: component-driven pages, responsive UI, accessibility checks, and portfolio-ready projects.
APIs and data you can trust: database design, clean endpoints, authentication fundamentals, and testing practices.
Practical machine learning workflows: prompt-to-prototype iteration, evaluation, and production-minded experimentation.
Tracks
Each track builds practical outputs: a portfolio-ready web app, an API + database system, and a capstone case study with evidence you can reference later.
UI-ready web app
Deliverable: responsive web app
Design system + accessibility
Deliverable: component library with tests
Portfolio Evidence Panel
Outcome: reviewer-verified proof
Capstone case study
Deliverable: capstone case study
API + database core
Deliverable: API + database
Data modeling & integrity
Deliverable: schema + migrations
Test automation
Deliverable: integration test suite
Capstone case study
Deliverable: capstone case study
Practical ML workflow
Deliverable: ML pipeline project
Evaluation & iteration
Deliverable: metrics + experiment logs
Evidence Panel
Proof: mentor-reviewed outputs
Capstone case study
Deliverable: capstone case study
Want to see milestones tied to deliverables and proof?
Evidence Panels are used across the program, so you can point to what you shipped, what changed, and how it was verified.
Deliverable first, then the outcome you can aim for, and finally proof that a reviewer validated progress.
A concrete build you submit: a feature, an API endpoint, a UI flow, or a repo-ready artifact.
What “done” means for learning. It is measured as a role-aligned competency and a timeframe.
Evidence Panels record review notes, checklist results, and mentor verification so you can track progress across the program.
You submit the deliverable
A capstone case study draft with diagrams and implementation notes.
Mentor checks the outcome rubric
They confirm the competency goals match a realistic recruiter view of the work.
The Evidence Panel logs proof
You receive a verification note, then the next milestone unlocks when the checklist is met.
This triad approach supports practical digital skills and a portfolio outcome, without relying on promises you cannot control.
We may adjust tuition details by track and cohort start timing. No program includes an employment or salary guarantee, and results can vary by individual pace, project fit, and effort.
Evidence-first learning. Project-based curricula. Portfolio outcomes.
Request program details
Tell us what you’re aiming for, and we’ll send materials for your preferred learning path.