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Generative AI Governance

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

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Learn essential skills

Course overview

Tackle the challenges and ethical principles of generative AI by exploring best practice AI governance. Understand governance structures and risk management frameworks and learn how to integrate robust governance into your generative AI workstreams.

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Build robust governance for generative AI projects

This 4-hour course explores governance for generative AI, equipping you with the knowledge to manage accountability, ethical considerations, risks of bias, and compliance effectively. Learn key principles to support ethical and secure AI applications for business.

Learning objectives

Understand the principles and challenges of generative AI governance
Explore ethical frameworks and how to implement them
Explore governance structures and committees in managing Gen AI risks
Analyse future trends and their implications for the evolution of AI governance
Identify legal and regulatory requirements for generative AI
Develop decision-making skills to balance innovation and compliance in AI

What you'll learn

Gain a practical understanding of governance principles to support secure, compliant, and ethical generative AI projects, ensuring integrity throughout development. The generative AI governance course also covers application of these principles and planning for the evolution of AI governance.

Principals of governance in generative AI

Understand the importance of governance within AI practices. Identify and address governance challenges in generative AI, including ethical considerations and the regulatory landscape. Recognise the role of governance for ensuring accountability and mitigating risks in generative AI projects.

Ethics in generative AI

Explore ethical foundations in generative AI, including principles, moral dilemmas, and responsible development. Learn how to implement ethical guidelines through fairness, bias mitigation, and privacy protection.

Applying governance principles in practice

Establish governance structures and committees for generative AI, defining roles, best practices, and communication strategies. Learn risk management for generative AI projects, including identification, mitigation strategies, and explore real-world case studies. Understand how to integrate AI governance into project lifecycles, considering model selection, data sourcing, and auditing.

Future-proofing your generative AI practices

Explore future trends in generative AI governance, including the potential evolution of the regulatory landscape, ethical innovation, and the scope for career opportunities.

What's included

4 hours of instructor-led training in a virtual classroom setting

Key facts

Certification

This is a skills and knowledge-based course with no formal accreditation.

Who it’s for

Ideal for project management and other professionals who are looking to use generative AI in their work, including AI developers and compliance officers. This course benefits professionals with responsibility for delivering AI-driven content, as well as those considering incorporating generative AI into their processes.

Prerequisites

There are no prerequisites for this course.

Exam information

There is no exam for this course.

Optional extras

There are no optional extras for this course.

FAQs

By completing this course in generative AI governance you’ll understand how to integrate effective governance into your generative AI processes and practice, ensuring compliance and ethical use of this innovative technology.

What is governance in generative AI?

Governance in generative AI involves establishing policies to manage project integrity, privacy, and ethical use, ensuring compliant and secure AI applications.

Do I need a governance background?

No prior experience is required. This course covers fundamental governance principles specific to AI projects.

How does this course benefit my career?

You’ll gain skills to implement responsible AI practices, helping you align projects with compliance standards and ethical requirements, which are highly valued in AI-driven industries.

How is this course delivered?

This course is delivered through 4 hours of instructor-led training in a virtual classroom setting. Our virtual courses provide the personal teaching experience of a classroom with the ease and flexibility of a virtual environment. All the benefits, without the travel!

What our customers say

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

Narender Kathait, ILX learner

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

John Osazuwa Inneh, ILX learner

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