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Ship products, not exercises.

Full Stack GenAI Engineering

The broadest entry into modern product engineering. You build front end, back end, data access and AI-assisted features inside one application, then operate it like a real product with version control, review, testing and deployment.

What you learn

  1. Programming, data structures, version control, HTTP.

  2. Interfaces, APIs and persistence in one working application.

  3. Model APIs, retrieval and AI-assisted product features.

  4. Testing, review, environments and deployment.

  5. A defensible portfolio application and technical interview.

Protected programme depth

Illustrative redaction. Detailed module content, lab briefs and assessments are shared with enrolled candidates.

Technologies

ReactNext.jsTypeScriptPythonFastAPIPostgreSQL / MySQLAWS · Docker · CI/CDLLMs · Embeddings · Vector DBRAG · Tool calling · AgentsGit · Code review · Jira

Roles this prepares you for

  • Full Stack Engineer
  • Product Engineer
  • GenAI Application Engineer
  • Frontend Engineer

What you leave with

  • A running application you can demo and defend
  • A commit history that shows how you work
  • AI features integrated with real retrieval, not prompts alone

Duration & fees

Confirmed during consultation, based on your entry point and cohort. Published figures will appear here once finalised.

Admissions & fees →

Questions about this programme

No. The Foundation phase assumes no professional coding background, but it does assume consistent effort from week one.

One conversation
changes the route.

Tell us where you are. We'll tell you honestly what the path looks like from here.

Ready to become an engineer for the AI era?

Book a consultation