GenAI Application Developer
Add dependable model-powered features to real applications.
- Model APIs
- Structured output
- Tool calling
- Evaluation
61 planned Role-Ready paths across 13 role families. Connect skills to real projects, a GitHub portfolio, reviewed work and preparation for role-specific interviews. Final curriculum and dates will be published before enrolment.
Add dependable model-powered features to real applications.
Build agents with typed tools, state, approvals and limits.
Build document assistants that retrieve, cite and admit gaps.
Own a feature end to end — interface, API, data and deployment.
Design and run the APIs, data and services behind products.
Build fast, accessible interfaces that users can rely on.
Build repeatable pipelines that deliver trustworthy data.
Answer business questions with clean data and clear dashboards.
Build governed semantic models and reliable reporting.
Train, evaluate and serve models that hold up in production.
Make model training and deployment reproducible and observable.
Turn data into evidence, models and clear decisions.
Automate build, test, release and recovery.
Provision and run secure, cost-aware cloud workloads.
Keep services reliable with SLOs, observability and practice.
Design AI systems with evaluation, guardrails and economics.
Shape systems through boundaries, decisions and trade-offs.
Translate requirements into secure, costed solutions.
Find and fix vulnerabilities before attackers do.
Design tests that find the problems users would hit.
Automate regression suites that run on every change.
Find the right problems and ship outcomes, not just features.
Lead products where APIs, data and architecture matter.
Turn business needs into clear, testable requirements.
Guide a team's technical direction and delivery quality.
Solve cross-team technical problems and set direction.
Build healthy teams that deliver predictably.
Run measurable, documented and improving operations.
Automate repetitive processes with clear exception handling.
Connect marketing, sales and finance data into one pipeline.
Build custom apps and integrations on Salesforce.
Extend SAP with ABAP, CAP services and Fiori apps.
Build scoped apps and workflows on ServiceNow.
Design usable, accessible interfaces grounded in research.
Shape products end to end, from problem to coded prototype.
Write documentation developers actually use.
Run paid technical assessments and recommendations.
Design and deliver technical training that changes practice.
Publish structured courses with lessons, exercises and assessment.
Every role path has three entry points. Experienced learners (10+ years) take an intake assessment so we can identify skill gaps and select only the relevant advanced modules.
Programming basics, tools and guided exercises.
End-to-end implementation, testing and deployment.
Architecture, reliability, security, optimisation and technical decisions.
Marketing, sales, teaching, development and more — see how AI fits into the work you already do.