AI EngineeringAvailable
Responsible AI Governance
About this course
AI systems make decisions that affect people. This course covers bias detection, model documentation, audit trails, red teaming, privacy-preserving ML, the EU AI Act, and building a governance programme from scratch.
What you will learn
- Why AI governance matters: real incidents and regulation
- Bias detection: demographic parity and equalised odds
- Model cards and documentation standards
- Audit trails for regulated industries
- Red teaming and adversarial testing for LLMs
- Privacy-preserving ML: differential privacy basics
- EU AI Act and emerging global regulation
- Building a governance programme from scratch
Your instructor
Ayodele Ajayi
Principal Engineer
Principal Engineer based in Kent, UK, with extensive experience across cloud-native security, platform engineering, and distributed systems. Ayodele has led engineering teams at scale and writes about what he learns — with a bias towards things that actually work in production.