Course Overview
Practical guidance to govern AI adoption responsibly and at scale, embedding oversight, accountability, proportionate controls, transparency, trust and ethical guardrails across AI use.
Who should attend
- Professionals with AI (delivery) responsibility including product managers, service managers, service designers, project and programme managers, transformation leads, implementation leaders, operations managers, SREs, and DevOps leaders
- Professionals responsible for introducing, embedding, or managing AI at scale across products, services, projects, programmes, and organizational workflows
Prerequisites
- No certification prerequisites
- Accredited training or Offiical eLearning (coming soon)
Course Objectives
Stronger AI Ops and operational resilience, accountability and trust in AI-enabled products and services Safer AI adoption at scale Reduces compliance, regulatory, and supplier risks Realize AI’s transformative potential while maintaining compliance, and stakeholder confidence Governance assurance across delivery lifecycles potential while maintaining compliance, resilience, and stakeholder confidence
Course Content
This module supports a holistic understanding of AI governance, combining proven principles with practical, role-aligned guidance to help organizations use, manage, and govern AI with clarity, accountability and trust. It helps professionals establish clear oversight and accountability for AI across functions, balance innovation, ethics, and compliance without sacrificing agility, maintain human control over AI outcomes, and scale AI responsibly to deliver measurable, sustainable value.
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