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.
Learning modes and locations may be different depending on the course start date. Please check the location of your chosen course and read our guide to learning modes and locations to help you choose the right course for you.
Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Centre for more information on a range of topics including fees, online learning and FAQs.
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 This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work. We recommend that you do not upload any sensitive personal data when using third party software for this course.
Vina Theodorakopoulou is a passionate advocate at the intersection of technology, business and society. With a rich background including a PhD in behavioural economics and over 25 years in financial and professional services, she wears many hats: social entrepreneur, podcaster, multilingual educator and dedicated teacher at CityLit. Vina believes in shaping today’s workplace while paving the way for tomorrow’s. Her active allyship for accessible digital skills, financial literacy and lifelong learning fosters belonging and fuels collective progress. At CityLit, she teaches a range of thought-provoking subjects including Ethics in AI, Philosophy & Societal Purpose, History of Global Capitalism, Blockchain and Cryptocurrencies, Sustainability, as well as Modern Languages, encouraging learners to embrace communication as a tool for empowerment and cross-cultural connection. Beyond the classroom, Vina writes thought leadership articles exploring neurodiversity, the future of work, and the strength of individual purpose. In her spare time, she teaches dance and coaches Kids First rugby, embodying a values-driven life of polymathy, energy and community.
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.
product
https://www.citylit.ac.uk/generative-ai-strategy-and-governance343199Generative AI strategy and governancehttps://www.citylit.ac.uk/media/catalog/product/g/e/generative-ai-strategy-and-governance-cmart34-1024.jpg159159GBPInStock/Courses/Courses/Business, marketing & technology/Courses/Business, marketing & technology/AI & technology/Technology/Courses/Business, marketing & technology/AI & technology/Courses/Online courses22851211158713526173112285121113526The Generative AI Strategy and Governance course will explore the strategic and ethical implications of generative AI adoption, focusing on responsible governance and effective strategies.003031213Generative AI strategy and governance159159https://www.citylit.ac.uk/media/catalog/product/g/e/generative-ai-strategy-and-governance-cmart34-1024_6.jpgInStockEveningTueOnlineAvailable courses1 to 4 weeksWeekday2026-11-17T00:00:00+00:00BeginnersNov 2026Business, marketing & technologyCMART34159159Generative AI strategy and governance127103159Vina Theodorakopoulougenerative-ai-strategy-and-governance/cmart34-2627The Generative AI Strategy and Governance course will explore the strategic and ethical implications of generative AI adoption, focusing on responsible governance and effective strategies.0000-Available|2026-11-17 00:00:00This 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.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.Module 1: Foundations of Generative AI<br><br>• Introduction to Generative AI:<br>- The basics of generative AI algorithms<br>- Use cases across industries<br>• Economics of AI:<br>- The value of data in deep learning<br>- The growing competition and implications of data harvesting<br><br>Module 2: Ethical Considerations <br><br>• Ethics in Generative AI:<br>- Ethical challenges related to generative AI<br>- Bias, fairness and transparency<br><br>• Responsible Data Handling:<br>- Biases within data<br>- User data and privacy<br><br>Module 3: Governance Strategies <br><br>• Building Responsible AI Governance:<br>- Effective governance frameworks<br>- Risk management practices<br><br>• Organisational Impact:<br>- AI’s role in change management<br>- Risks associated with AI processes.<br><br>Module 4: Future Trends and Applications <br><br>• Emerging Trends in Generative AI:<br>- Explore the latest developments.<br>- Discuss its impact on business models and innovation.- Explore use cases of GenAI across various industries<br>- Address ethical challenges related to generative AI<br>- Outline effective governance strategies <br>- Contribute towards governance frameworks for responsible AI adoption.This is a short introduction to AI Strategy and Governance suitable for beginners. There are no pre-requisites.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.There are no additional costs.<p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/Web_Technology_courses.pdf" target="_blank" rel="noopener noreferrer"> here </a> to view all our courses in the Technology area..</p><p>Disclaimer: Use of Third-Party Software<br>This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work. We recommend that you do not upload any sensitive personal data when using third party software for this course.</p>AI & technologyTechnologyvirtual127159103CMART34NONETue17/11/26 - 24/11/2618:00 - 21:0018:0021:002 sessions (over 2 weeks)21 to 4 weeksWeekdayOnlineOnlineVina TheodorakopoulouBeginnersAvailable courses2026-11-17T00:00:00+00:00EveningNov 2026Business, marketing & technology159159Generative AI strategy and governancegenerative-ai-strategy-and-governance/cmart34-2627The Generative AI Strategy and Governance course will explore the strategic and ethical implications of generative AI adoption, focusing on responsible governance and effective strategies.0000-Available|2026-11-17 00:00:00This 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.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.Module 1: Foundations of Generative AI<br><br>• Introduction to Generative AI:<br>- The basics of generative AI algorithms<br>- Use cases across industries<br>• Economics of AI:<br>- The value of data in deep learning<br>- The growing competition and implications of data harvesting<br><br>Module 2: Ethical Considerations <br><br>• Ethics in Generative AI:<br>- Ethical challenges related to generative AI<br>- Bias, fairness and transparency<br><br>• Responsible Data Handling:<br>- Biases within data<br>- User data and privacy<br><br>Module 3: Governance Strategies <br><br>• Building Responsible AI Governance:<br>- Effective governance frameworks<br>- Risk management practices<br><br>• Organisational Impact:<br>- AI’s role in change management<br>- Risks associated with AI processes.<br><br>Module 4: Future Trends and Applications <br><br>• Emerging Trends in Generative AI:<br>- Explore the latest developments.<br>- Discuss its impact on business models and innovation.- Explore use cases of GenAI across various industries<br>- Address ethical challenges related to generative AI<br>- Outline effective governance strategies <br>- Contribute towards governance frameworks for responsible AI adoption.This is a short introduction to AI Strategy and Governance suitable for beginners. There are no pre-requisites.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.There are no additional costs.<p>City Lit offers a variety of progression courses in this subject area.&nbsp;Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/Web_Technology_courses.pdf" target="_blank" rel="noopener noreferrer"> here </a> to view all our courses in the Technology area..</p><p>Disclaimer: Use of Third-Party Software<br>This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work. We recommend that you do not upload any sensitive personal data when using third party software for this course.</p>AI & technologyTechnologyconfigurable
