Outcomes

Learning measured by what you can do next

Every track commits to a concrete outcome. This page is where we report how learners are doing against those promises.

Success metrics

We're collecting completion and career data from our first cohorts. Results will be published here.

Coming soon

Track completion rate

Coming soon

Learners in a new or better role within 6 months

Coming soon

Average skill-level gain (SFIA)

Coming soon

Median time to complete a track

The outcome a learner should be able to demonstrate on finishing the track.

Build, test and deploy a production-ready full-stack web application you can show to employers.

Clean, analyse and model real datasets, and ship a machine-learning project that answers a business question.

Take a product idea from customer discovery to a prioritised roadmap and a launch plan with clear success metrics.

Research, design and prototype a complete app experience, presented in a portfolio-ready case study.

Assess a system's security, detect and respond to common attacks, and write a professional security report.

Plan, launch and measure a multi-channel digital marketing campaign with a budget and clear KPIs.

Containerise an application, automate its build and deployment pipeline, and run it on a major cloud platform.

Analyse a business problem, build the numbers behind a decision, and present a recommendation leadership can act on.

Stories from learners who have completed a track will appear here.

Completion is counted when a learner finishes every module and passes the capstone review.
Skill gains are measured with SFIA-aligned assessments taken at the start and end of a track.
Career outcomes are self-reported by learners in a follow-up survey six months after completion.