Already in the field? Master AI inside it.

Working professionals with about a year or more of hands-on experience in their field. It is not an introduction to your profession. It assumes you already do the job and want AI to change how you do it. If you are unsure, the free readiness check takes a couple of minutes.

It means a separate curriculum per profession, written by someone who works in it. The cybersecurity programme is about triage and detection; the finance programme is about models that survive an audit. They share a structure and nothing else.

Two live sessions plus build time between them: a few hours a week for most people. It is designed to run alongside a full-time job, and the capstone is built against work you are already doing rather than a separate exercise.

Depends on the field. Software Engineering and Cybersecurity assume you already work in those roles. Financial Modelling and Product Marketing assume no engineering background at all. Each programme page states its own prerequisites plainly.

Yes. It is delivered live online and we currently have participants across Nigeria, the UK, the US, Kenya and South Africa. Pricing is shown in NGN and USD, and cohort times are set to work across those regions.

A field-verified credential issued on completion, checkable by anyone at brixgate.com/verify. The public page shows your practitioner's assessment, the competencies covered and the project you built. In practice the project matters more than the badge.

Yes, and the per-seat rate falls as the cohort grows. Teams can be placed in a shared cohort with progress reporting for whoever owns the budget, see For Organisations for how a deployment is scoped.