Learn how to build and operate practical AI governance within an organisation. This 2-day course covers AI risk, governance roles, policies, AI inventories, use-case approval, vendor risk, regulatory requirements, human o
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AI is becoming part of everyday business - from customer service and recruitment to marketing, finance, software development and decision-making. But using AI responsibly requires more than choosing the right tools. Organisations need clear ownership, policies, risk controls and ongoing oversight.
AI Governance for Organisations is a practical 2-day course designed to help professionals understand how to govern AI across its lifecycle. You will learn how to identify AI risks, classify use cases, create an AI inventory, establish governance roles, develop policies and controls, assess AI vendors, manage incidents and monitor AI systems over time.
The course uses practical examples, case studies and hands-on exercises rather than focusing only on theory. You will work through realistic organisational situations and build the key components of an AI Governance Playbook that can be adapted for your own organisation.
The course also introduces important AI governance frameworks and regulations, including the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act, and explains how they can support practical organisational governance.
No technical or programming background is required. The course is designed for professionals who are responsible for AI adoption, risk, compliance, technology, data, operations, transformation or business leadership.
โข Understand how AI governance fits into an organisationโs wider risk, compliance and business strategy.
โข Learn how to identify and assess risks associated with AI and Generative AI.
โข Understand how to classify AI use cases and decide what level of governance is required.
โข Learn how to create an AI inventory and keep track of AI systems and use cases across the organisation.
โข Develop practical AI policies, controls and approval processes.
โข Define clear ownership and accountability for AI across business, technology, risk, legal and compliance teams.
โข Learn how to assess AI suppliers and manage third-party AI risks.
โข Understand the practical governance implications of major AI regulations and standards.
โข Establish processes for AI monitoring, incident management and continuous improvement.
โข Leave with practical templates and a structured AI Governance Playbook that you can adapt for your organisation.
โข Attend the 2-day live training programme.
โข Participate in practical exercises, discussions and organisational case studies.
โข Complete a knowledge assessment covering AI governance principles, risk management, policies, controls and regulatory considerations.
โข Complete a practical AI governance case study.
โข Develop an AI Governance Playbook covering governance roles, AI inventory, risk assessment, policies, controls and oversight.
Participants who successfully complete the required assessment and practical work will receive an Advance Agility Certificate in AI Governance for Organisations.
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