Four certifications · Two leadership programmes
Six programmes in total. Every one of them is taught live by practitioners and assessed on work you produce, not on a multiple-choice paper.


Long-form programmes ending in a credential and a mentored capstone. Cohorts commence monthly and are capped at twenty places.
The entry programme, and the foundation the advanced certifications assume: programming, data, the mathematics of AI and how AI systems are actually built. No prior experience required.


The Institute's flagship certification: a 12-week live masterclass sequence and an 8-week mentored capstone, training practitioners to build, deploy and reason about AI systems.
For engineers building autonomous systems: agents that reason, decide and coordinate, using LangGraph, CrewAI, AutoGen and the OpenAI Agents SDK.


An intensive programme that teaches the attacks before the defences — adversarial evasion, data poisoning, model extraction, and the hardening that answers them.
For the people who have to answer for an AI system. The EU AI Act, the NIST AI Risk Management Framework and ISO/IEC 42001, taught to implementation depth.

Programmes for the people deciding what gets built, and for the teams building companies around it.


Six things that are true of every programme in the catalogue.
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