Generative AI strategy and governance

The Generative AI Strategy and Governance course will explore the strategic and ethical implications of generative AI adoption, focusing on responsible governance and effective strategies.
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  • Start Date: 17 Nov 2026
    End Date: 24 Nov 2026
    Tue (Evening): 18:00 - 21:00
    Online
    Location: Online
    Duration: 2 sessions (over 2 weeks)
    Course Code: CMART34
    Full fee £159.00 Senior fee £127.00 Concession £103.00
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In stock
SKU
250283
Full fee £159.00 Senior fee £127.00 Concession £103.00

What is the course about?

This course will explore the strategic implications of generative AI adoption, focusing on responsible governance and effective strategies. Delve into the transformative power of generative AI, address ethical considerations and governance frameworks. By the end of the course, you will be equipped to navigate generative AI’s complexities and contribute towards positive outcomes for your organisation.

What will we cover?

Module 1: Foundations of Generative AI

• Introduction to Generative AI:
- The basics of generative AI algorithms
- Use cases across industries
• Economics of AI:
- The value of data in deep learning
- The growing competition and implications of data harvesting

Module 2: Ethical Considerations

• Ethics in Generative AI:
- Ethical challenges related to generative AI
- Bias, fairness and transparency

• Responsible Data Handling:
- Biases within data
- User data and privacy

Module 3: Governance Strategies

• Building Responsible AI Governance:
- Effective governance frameworks
- Risk management practices

• Organisational Impact:
- AI’s role in change management
- Risks associated with AI processes.

Module 4: Future Trends and Applications

• Emerging Trends in Generative AI:
- Explore the latest developments.
- Discuss its impact on business models and innovation.

What will I achieve?
By the end of this course you should be able to...

- Explore use cases of GenAI across various industries
- Address ethical challenges related to generative AI
- Outline effective governance strategies
- Contribute towards governance frameworks for responsible AI adoption.

What level is the course and do I need any particular skills?

This is a short introduction to AI Strategy and Governance suitable for beginners. There are no pre-requisites.

How will I be taught, and will there be any work outside the class?

You will be taught step by step through using presentations, case studies, participating in debate with your peers and by completing practical exercises. There is no homework.

Are there any other costs? Is there anything I need to bring?

There are no additional costs.

When I've finished, what course can I do next?

City Lit offers a variety of progression courses in this subject area. Please click here to view all our courses in the Technology area..

Disclaimer: Use of Third-Party Software

AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.

City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.

We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.

  • Examples of sensitive information include:
    • Personal information
    • Student information
    • Confidential information
    • Sensitive information
    • Information about other people without their consent

Please also refer to our City Lit policies

Vina Theodorakopoulou Tutor Website

Vina Theodorakopoulou teaches at the intersection of technology, business and society, helping learners connect big ideas on economics, innovation and human behaviour to real-world decisions and practical outcomes. With a background in financial and professional services and a PhD in behavioural economics, she brings practical insight into how decisions are made under uncertainty and how systems -from markets to organisations- affect everyday life and work. At City Lit, her courses span topics such as AI and ethics, global capitalism, innovation, sustainability and communication. Across all subjects, she focuses on connecting ideas to practice, encouraging learners to apply what they learn in meaningful and tangible ways. She has a strong interest in global cultures and communication, reflected in her teaching of languages and cultural forms, including Greek dance. She believes learning should open up new ways of thinking about work, culture and how we live — and offer practical value beyond the classroom.

Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.