Upskill. Lead.
Build your own product.

Industry certification

A verifiable certification tied to your delivered portfolio — not just an exam pass. Something tangible you can point to.

Real project delivery

Delivered client work from month 2 onwards. Portfolio-worthy, sometimes paid, always a real brief from a real company.

Technical leadership

Lead engineering teams, own architecture decisions, and drive AI product strategy at the senior level.

Product launch

From idea to first paying customer — with the full-stack and AI skills to build the entire thing yourself.

Certification Roadmap

Your AI/ML certification track — completed units, current assessment, upcoming exams, and projected completion date. Every milestone shown clearly.

Industry Projects

Live client briefs from the TechOps engineering team. Apply, get matched, and deliver real work that goes directly on your professional portfolio.

Mentorship Sessions

1:1 sessions with senior engineers and founders, bookable by topic — system design, AI products, leadership, or career transitions. Notes saved to your profile.

Flex Learning Schedule

All sessions run evenings and weekends. Catch-up recordings included. Designed entirely around a full-time job — not the other way around.

Skills Progress Map

Depth scores across AI engineering, system design, technical leadership, and product. See your level — novice, practitioner, or expert — and what each next step requires.

• → LLM APIs and prompt engineering
• → RAG systems and vector databases
• → AI product architecture
• → Evaluation and monitoring

• → Fine-tuning and alignment
• → MLOps and CI/CD for models
• → Distributed inference
• → Cost optimisation

• → Engineering team management
• → Architecture review frameworks
• → Hiring and onboarding engineers
• → Stakeholder communication

• → From idea to MVP
• → Pricing and monetisation
• → First enterprise customers
• → Fundraising fundamentals