We don't offer courses.
We offer career pathways.
Career-focused programs designed to move Africans from little or no technical background into confident, job-ready professionals. Each program is structured, practical, and guided from start to finish.
Every track is built the same way.
- 12-week structured curriculum
- Live instructor-led classes
- Recorded access for flexibility
- Practical project work
- Mentorship & office hours
- Portfolio development
- Career preparation
Every track grounds you in the fundamentals first, then builds the industry skills employers actually look for.
Choose your track.
Three pathways. Same depth, same structure. Pick the one that matches where you want to land in twelve weeks.
Web Development
Build the skills required to create modern, scalable web applications. Graduates complete production-ready projects and develop portfolios suitable for junior developer roles.
Modules
- HTML, CSS & JavaScript
- Responsive design
- Frontend frameworks
- API design & integration
- Server-side programming
- Databases
- Authentication & security
- Application architecture
- Performance optimization
- Deployment
Design
Develop professional design skills with a focus on clarity, usability, and brand communication. Graduates build professional case-study portfolios for design roles and freelance opportunities.
Modules
- Design thinking
- User research
- Wireframing & prototyping
- Usability testing
- Design systems
- Visual design principles
- Typography & color systems
- Logo & identity design
- Brand guidelines
- Developer handoff & client presentation
Artificial Intelligence.
Go beyond using AI tools. Learn how modern AI systems actually work under the hood and how to build well-architected, autonomous systems grounded in real understanding of data, resource management, security, and privacy.
Graduates build production AI solutions and portfolios that demonstrate genuine engineering depth and not just prompt-writing.
From fundamentals to shipping production systems — plus operating AI tools and agents effectively in real work.
- 01
Fundamentals of AI
Concepts, terminology, and the mental models you need before you build. Where modern AI came from and where it's actually useful.
- 02
Workable Data for AI
- Cleaning, structuring & annotation
- Drawbacks of traditional databases
- Retrieval Augmented Generation (RAG)
- Vector databases & applications
- 03
Fine-Tuning Models
- Model parameters
- When to fine-tune vs. prompt vs. RAG
- 04
Agentic AI
- System architecture for agentic systems
- Observability — feedback loops, logging, monitoring
- 05
Ethics of AI Use
How to reason about harm, bias, attribution, and consent — not as a slide deck, but as a working part of every system you ship.
- 06
Privacy & Security
- Data governance & compliance — GDPR, HIPAA, NDPR/NITDA
- Guardrails, fail-safes & “nuke buttons”
- Prompt-injection attacks & defenses
- 07
Deploying AI Models & Systems
- GPUs vs. CPUs — when each makes sense
- Serving, scaling & cost
- 08
Using AI Tools & Agents
- AI literacy
- Workflow automation
- Business applications
- Research & content systems
- Productivity agents
- AI-powered services
We ground you in how things really work and then make you industry-ready.
Shortcuts and surface-level skills fade the moment a job gets hard. We teach fundamentals first, the structure of the work, the why behind the tools and then layer on the industry skills employers actually look for. Our graduates are able to adapt when the tools change, because the foundations don't.
Pick a track.
Start the transition.
Applications close 22 August. A small cohort per track keeps mentorship real.