Generative AI Governance

Overview Learning objectives What you'll learn Key facts FAQs What our customers say Get in touch

Course overview

Learn how to apply governance principles within generative AI projects, covering ethics, risk management and organisational oversight. This course develops practical skills for managing AI responsibly, helping you strengthen compliance, improve accountability and reduce operational risk in real-world environments. You’ll gain approaches that support stronger decision-making and more controlled delivery of AI initiatives in the workplace.

Practical governance skills for AI professionals

Build the skills needed to govern generative AI effectively through structured frameworks that support ethical practice, compliance and risk management. This course explores how governance controls improve oversight, strengthen accountability and support more consistent AI delivery. It is designed for professionals involved in AI initiatives who need clearer governance approaches that align with organisational objectives and regulatory expectations.

Learning objectives

Understand the importance of AI governance
Identify governance challenges
Apply ethical AI principles
Mitigate bias and risks
Establish governance structures
Manage AI project risks
Integrate governance lifecycle
Understand regulatory landscape

What you'll learn

You’ll explore how governance supports the effective use of generative AI within organisations, focusing on ethical decision-making, risk identification and operational oversight. The course examines how governance frameworks can be applied across AI projects to improve accountability and support regulatory alignment. You’ll also learn how governance activities can be integrated into day-to-day delivery processes to help reduce operational risk and maintain alignment with organisational standards.

Governance foundations

Develop an understanding of how governance supports the effective use of generative AI within organisations. You’ll examine common challenges associated with AI adoption, including oversight, decision-making and accountability, and explore how governance approaches help address them. The module focuses on improving consistency across AI activities while supporting alignment with organisational policies and external obligations.

Ethical decision-making in AI

Explore how ethical considerations influence the design and application of generative AI in professional environments. You’ll examine how bias, fairness and data handling affect outcomes, alongside practical ways to manage these challenges. The module focuses on helping you make informed decisions that support innovation while meeting organisational and societal expectations.

Implementing governance in projects

Learn how governance approaches can be applied within AI project environments through clearly defined roles, responsibilities and working practices. You’ll explore how governance structures support stronger risk management, improved communication and clearer oversight throughout project delivery. The module also examines how governance activities can be integrated into workflows to improve consistency and reduce delivery issues.

Evolving governance for future needs

Gain insight into how governance approaches evolve alongside advances in generative AI. You’ll examine how changes in regulation, technology and organisational priorities influence governance strategies and ongoing oversight requirements. The module helps you prepare for change while supporting alignment between AI activities, business objectives and external expectations.

What's included

4 hours live virtual classroom training

Key facts

Certification

This course provides a skills-based learning experience with no formal accreditation.

Who it’s for

This course is suitable for professionals working with generative AI, including those responsible for delivering or governing AI-driven initiatives.

Prerequisites

There are no entry requirements for this course.

Exam information

There is no formal exam associated with this course.

Optional extras

There are no optional extras available for this course.

Pre-course

There is no pre-course work required before attending.

FAQs

This course introduces the principles of generative AI governance, covering ethics, risk management and governance implementation within AI projects. It is designed to help professionals strengthen oversight, improve accountability and support compliance within operational environments.

How does this course help manage AI-related risk?

This course introduces practical approaches to identifying and managing risks associated with generative AI, including governance controls and structured oversight. You’ll learn how governance practices can help reduce operational and compliance risks across AI projects while supporting more consistent project outcomes.

Will I learn how to apply governance in real project environments?

Yes, the course focuses on applying governance within real-world AI initiatives. It covers how to define roles, implement governance structures and integrate oversight into project workflows, helping you improve consistency and accountability across AI delivery.

Does the course cover regulatory considerations for AI?

The course explores the regulatory considerations surrounding generative AI and how governance frameworks can support compliance activities. You’ll gain an understanding of how to consider compliance as part of your governance approach without losing focus on delivery and innovation.

What kind of professionals would benefit most from this course?

This course is relevant for professionals involved in developing, managing or overseeing generative AI initiatives. It is particularly useful if your role requires you to ensure AI is used responsibly, with appropriate controls in place to manage risk and maintain accountability.

How quickly can I apply what I learn in the workplace?

The course is designed to provide practical knowledge that can be applied immediately. By focusing on governance frameworks, ethical considerations and risk management, you can begin applying more consistent governance practices within AI projects immediately after the course.

What our customers say

"Instructor was on point. Would be happy to recommend others to enrol for this course."

Narender Kathait, TSG learner

"The lecturer (Karen) was very professional, polite, made her students very relaxed. She makes the course easy to understand. "

John Osazuwa Inneh, TSG learner

Why study with TSG?

25+ years' experience

Trusted by individuals, businesses and public sector organisations for over 25 years.

20,000+ learners trained

Join a network of learners focused on developing their software testing skills

98% customer satisfaction

TSG trainers are frequently rated as ‘good’ or ‘excellent’ by our learners

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Guidance from experienced advisors

If you’re unsure which course aligns with your technical requirements or career direction, we’ll help you assess your options and choose with confidence.

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Develop skills that support real delivery outcomes

From software testing to broader digital skills, we work with you to design learning that strengthens capability, improves performance, and supports long-term business goals.

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