AI Governance Training Course
Learn how to establish practical AI governance, accountability and risk controls for responsible AI use.
Learn how to establish practical AI governance, accountability and risk controls for responsible AI use.
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Build practical AI governance skills for responsible AI use.
Nexacu’s AI Governance Training course helps professionals understand how to establish policies, accountabilities, controls and risk management processes for AI use across an organisation.
This instructor-led course covers AI governance fundamentals, decision authority, human oversight, AI risk management, transparency, assurance, regulatory alignment, data governance and responsible AI operations.
Quick Answer
AI Governance Training is a one-day course for professionals responsible for overseeing, approving or managing AI use in an organisation. The course covers AI governance frameworks, accountability, risk management, data governance, transparency, assurance, regulatory alignment and responsible AI operations. No prior technical or AI experience is required.
Who should attend?
Executives, senior leaders, board members, risk committees, government teams, legal, compliance, data, IT, policy and governance professionals overseeing AI use.
What will you learn?
Learn how to define AI accountability, manage AI risks, document decisions, align with policy obligations and design practical, risk-proportionate governance controls.
Prerequisite: No technical or AI experience is required. This course is designed for professionals involved in leading, managing or overseeing AI use in their organisation.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
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Introduction to AI Governance
What AI governance is and what it is not
Scope and importance of governance in AI use
Organisational accountability and responsibility
Why most AI failures are governance failures
Decision Authority and Accountability
Who approves AI use cases
Human oversight requirements
Governance differences between government and enterprise
AI governance across the full lifecycle
AI Risk Management
Bias, model drift, data leakage, and operational risk
Embedding controls across AI use
Governed versus ungoverned AI outcomes
Transparency and Assurance
Explainability and defensibility of AI decisions
Audit trails and documentation
Transparency expectations by sector
Regulatory and Policy Alignment
Government AI governance obligations
Enterprise regulatory considerations
International standards and compliance expectations
Data Governance for AI
Data classification and provenance
Retention and deletion considerations
Privacy-by-design for AI
Operating AI Responsibly
Integration with IT and service management
Incident and change management
Clear accountability when issues arise
Practical Adoption and Value
Minimum viable AI governance
Risk-proportionate governance approaches
Governance as an enabler of innovation
Skills and Workforce Expectations
AI literacy and safe-use training
Technical, risk, communication, and ethical skills
Wrap-Up and Key Takeaways
Accountability as the foundation of AI governance
Governance as an ongoing organisational capability
What is AI governance?
AI governance refers to the policies, processes, accountabilities and controls an organisation uses to ensure AI is adopted and used responsibly. It covers who approves AI use, how risks are managed, how decisions are documented, how data is protected and how AI systems are monitored over time.
What will I learn in this AI Governance Training course?
You will learn how to establish decision authority and accountability for AI use, manage risks such as bias, model drift and data leakage, apply transparency and assurance principles, align AI use with policy and regulatory expectations, and design practical AI governance controls for your organisation.
Who should attend this AI governance course?
This course is designed for executives, senior leaders, board members, risk committees, government and enterprise decision-makers, legal, risk, compliance, data, IT and policy professionals. It is suitable for anyone responsible for approving, managing or overseeing AI use.
Do I need technical AI knowledge before attending?
No. This is a non-technical AI governance course. It is designed for professionals who oversee AI use, risk, policy, compliance or organisational decision-making rather than people who build AI systems.
Is this course suitable for leaders and managers?
Yes. The course is suitable for leaders and managers who need to understand AI accountability, risk, governance and responsible-use requirements before approving or scaling AI use in their organisation.
Does this course cover AI risk management?
Yes. The course covers AI risk areas such as bias, model drift, data leakage, operational risk, ungoverned AI use and accountability gaps. Participants learn how governance controls can reduce these risks while supporting responsible innovation.
Does this course cover AI regulation and policy alignment?
Yes. The course introduces regulatory and policy alignment considerations for government and enterprise environments. It also covers documentation, transparency, defensibility, assurance and compliance expectations.
Does this course cover data governance for AI?
Yes. The course covers data governance topics relevant to AI, including data classification, provenance, retention, deletion, privacy-by-design and controls for safe AI use.
Can I take this AI governance course online?
Yes. Nexacu offers instructor-led live online training, with face-to-face options also available where scheduled. Remote participants can ask questions, join discussions and complete activities during the session.
Will there be practical exercises during the course?
Yes. The course includes practical examples and governance scenarios. Participants work through issues such as approval authority, risk controls, documentation, accountability and responsible AI decision-making.
What is remote training?
Remote training is instructor-led training delivered live online. Students attend via video conferencing, ask questions, participate in discussions and can interact with the trainer throughout the course.
What other AI courses are available from Nexacu?
Nexacu offers a range of AI for Business courses, including:
- AI Prompting Fundamentals
- ChatGPT Beginner
- AI for Business Leaders and Managers
- AI Governance Training
Will I receive a certificate after completing this course?
Yes. Participants receive a certificate of completion from Nexacu, which can be added to a resumé or LinkedIn profile to acknowledge their AI governance training.
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