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Flagship · Beginner-friendly · 18 months

Full Stack AI Developer

Graduates of this programme build and ship AI-powered software products — and compete for engineering roles at Ghanaian companies, African startups, and global employers in Germany, the UK, the US, and Canada. No prior experience required.

Software engineering class at Codetrain
Duration18 months · 3 phases
DeliveryIn-person or online · weekday or weekend
TuitionGHS 38,500 · up to 50% scholarship
Next cohortJuly 2026
Curriculum

What you'll build, phase by phase

Three milestone-gated phases. You cannot advance without passing each milestone — so what you know at the end is real.

M 1–6
Phase 1 · Foundation

Full-stack fundamentals

HTML, CSS, and JavaScript fundamentals. Build your portfolio page and a JavaScript mini-app, then move into React and frontend development and a full CRUD application. AI tools are introduced from Month 3. Milestone 1: build and deploy a full MERN (MongoDB, Express, React, Node.js) application.

M 7–12
Phase 2 · AI Integration

Building with AI

TypeScript. Working with LLM APIs (Claude, OpenAI, Gemini). Building RAG (Retrieval-Augmented Generation) pipelines and AI agents. A team sprint project building a real product together. Milestone 2: build and deploy an AI-powered product.

M 13–18
Phase 3 · Production

Production AI systems

Multi-agent AI systems. Production monitoring and evaluation. System hardening. A capstone project — a real-world problem of your choosing, deployed to live users. Milestone 3: a production AI system with real users, evaluated by industry reviewers.

Milestones

Three milestones gate the programme

MilestoneWhenWhat is assessed
M1 — Full MERN AppEnd of Month 6Functionality, code quality, code explanation, deployment, AI tool usage
M2 — AI-Powered ProductEnd of Month 12AI feature quality, architecture, code explanation, production quality, team collaboration
M3 — Production AI SystemEnd of Month 18System design, AI capability, production hardening, code explanation, AI tool evidence
Outcomes

What graduates can do

  • Call and manage AI APIs (Claude, OpenAI, Gemini) in production applications
  • Build retrieval-augmented generation (RAG) systems on real data
  • Build and deploy AI agents with real tool integrations
  • Write production-quality code in JavaScript, TypeScript, and Python
  • Build full-stack MERN applications and deploy them to live URLs
  • Work in engineering teams on real client projects
  • Compete for remote AI engineering roles internationally
Who it's for

This programme is right for you if…

  • You're a complete beginner — no prior coding experience required
  • You're a university student or recent graduate who wants real, applicable skills
  • You're a young professional entering the software industry
  • You want to build products, not just use them
  • You want to work for international companies remotely from Ghana
Admission

What you need to get accepted

  • Computer literacy
  • Openness to learning and growth
  • Willingness to put in the work
  • Pass our intake assessment
Not required

What you don't need

  • A computer science certificate
  • Previous tech experience
  • Any degree