HKU x HKAI LAB -
Strategic Transformation in AI Programme
Design thinking training
The world is fast-changing, so are the business models. Leaders shall always keep their managing and operation models updated to stay ahead in the competitive business world. Design thinking training offers a platform to equip leaders with a more comprehensive understanding of design thinking, and enables them to apply the strategy they have learned to their business and services.Joining design thinking course in HKU
Design thinking training is known as innovation training, our training programme enables leaders to add value to their business by improving their innovation processes in their teams. Joining HKU design thinning training can help to enhance the efficiency and productivity of your team and you will learn numerous insightful concepts of design thinking from our experienced experts.The Benefits of our Design Thinking Training
- Improve productivity Stay customer-centric
- Faster & more effective solutions to problems
- Increase ROI Certificate issued by HKU
What you will learn in our design thinking training
During the course, participants will come across different topics related to design thinking, such as creativity and innovation, how to produce new ideas, how to explore possibilities by brainstorming, etc. After finishing the course, participants should be able to… Apply creative thinking tools Figure out potential risks and opportunities Criticise the current situation and give advice from an innovative perspective Understand the principles and fundamental notion of design thinkingProgramme
HKU x HKAI LAB - Strategic Transformation in AI Programme
Programme Length
4 half-days (4 modules, half day each)
Programme Fee
HK$30,000 (Full Programme Fee)
HK$25,000 (Discount Programme Fee for HKU Alumni and Staff / HKAI LAB & AEF’s Network)
Medium of Instruction
English
Delivery Approach
Face-to-face
Venue
HKU Campus, Alibaba office & Site Visit
SCHEDULE AND VENUE
Dates
| Module 1 | Understanding Artificial Intelligence & Generative AI | 3 October 2025 | 14:00-18:00 |
| Module 2 | Operationalising AI: From Strategy to Execution in the Workplace | 10 October 2025 | 14:00-18:00 |
| Module 3 | Ethics Considerations & Responsible AI Governance | 24 October 2025 | 14:00-18:00 |
| Module 4 | Site Visit | 31 October 2025 | 14:00-18:00 |
Venue
HKU Campus, Alibaba office & Site Visit
*Please note that the organisation’s site visit and the associated activities are subject to change.
ABOUT THE PROGRAMME
Under the strong partnership between HKU Business School Executive Education, Alibaba Entrepreneurs Fund, and HKAI LAB, Strategic Transformation in AI Programme is meticulously designed for executives seeking to understand and leverage the transformative potential of AI within their organisations. This comprehensive curriculum encompasses core aspects of AI, operational strategies, ethical considerations, and practical insights through industry engagement, equipping participants with the knowledge and tools to lead in an increasingly AI-driven landscape.
PROGRAMME HIGHLIGHTS:
- In-depth exploration of AI and Generative AI applications in contemporary business contexts.
- Practical knowledge on operationalising AI from strategy formulation to execution.
- Emphasis on ethical considerations and responsible governance in AI deployment.
- The site visit* will include a visit to a pioneering organisation in China’s Greater Bay Area (GBA) or Hong Kong that has successfully integrated AI, providing first-hand insights into best practices and innovative approaches.
- Networking opportunities with fellow executives and industry leaders.
The combination of Lectures, Guest Sharing and Interactive Workshop associated with the programme offered by HKU and HKAI Lab. - Networking Opportunities: Facilitate discussions and connections among participants and industry professionals.
- Certification awarded by Executive Education of HKU Business School upon successful completion of the programme.
PROGRAMME STRUCTURE
Module 1: Understanding Artificial Intelligence & Generative AI
- Enterprise Applications: Explore the integration of AI in contemporary business contexts, examining how organisations can harness its capabilities to drive innovation and efficiency.
- Data-Driven Analytics: Gain insights into the pivotal role of data in AI analytics and its impact on decision-making processes.
- Data Techniques: Learn about effective methods for data collection, storage, and pre-processing to ensure high-quality inputs for AI systems.
- AI Techniques Classification: Familiarise yourself with various AI techniques, categorising their applications and potential impact on business functions.
- Machine Learning and Deep Learning Tools: Become acquainted with essential tools that facilitate machine learning and deep learning processes.
- Generative AI Fundamentals: Receive an introduction to generative AI, understanding its principles and applications in creative fields.
Module 2: Operationalising AI: From Strategy to Execution in the Workplace
- Common Misconceptions About AI and LLMs in 2025:
Debunk myths surrounding AI and Large Language Models(LLMs), gaining clarity on their capabilities and limitations. - Essential AI & LLM Concepts for Business Adoption:
Learn the crucial concepts necessary for successfully integrating AI into organisational processes. - Should Enterprises Adopt AI Agents?
Engage in a critical discussion on the benefits and potential pitfalls of implementing AI agents in business workflows. - Latest Developments in Generative AI:
Stay informed about the newest advancements in generative AI, covering areas such as video, music, voice synthesis, 3D modelling, and more. - AI Projects vs. Traditional IT Projects:
Understand the key distinctions between AI initiatives and traditional IT projects, with an emphasis on project management strategies. - Critical Success Factors for AI Implementation:
Identify the factors that contribute to the successful execution of AI projects within an organisation. - Must-Know AI Tools for Executives:
Discover essential AI tools that every executive should be familiar with to lead their organisations in an AI-driven era.
Module 3: Ethics Considerations and Responsible AI Governance
- Ethical Challenges: Address the ethical dilemmas associated with AI, including privacy concerns, transparency, and algorithmic bias.
- Solutions and Accountability: Explore strategies to ensure the responsible use of AI, promoting accountability across the organisation.
- Governance: Understand the frameworks and best practices for establishing effective AI governance within your organisation.
- Case Studies: Engage with real-world case studies that highlight the importance of ethical considerations in AI development and implementation.
Module 4: Site Visit*
- Participants will have the opportunity to visit prominent AI companies in China’s Greater Bay Area (GBA) or Hong Kong, offering firsthand insights into cutting-edge innovations and industry developments. These visits will enable attendees to observe practical applications of AI, explore the strategies employed by leading organisations, and engage directly with industry leaders for valuable networking and discussion.
*Please note that the organisation’s site visit and the associated activities are subject to change.
Participants are required to achieve a minimum attendance of 75% in order to be considered for the completion of the programme (all four modules).
Upon successful completion of all 4 modules, participants will be awarded a certificate.
All programmes are non-credit bearing.
WHO SHOULD ATTEND:
This programme is tailored for executives and decision-makers across public and private sectors who are keen to understand the implications of AI for their organisations. Participants will benefit from insights into strategy, operational execution, and ethical governance, making it suitable for those eager to champion AI initiatives in their workplace.
FACULTY PROFILES
Module 1: Understanding Artificial Intelligence & Generative AI
Prof. Matthias BUEHLMAIER
Associate Professor of Teaching
BBA (IBGM) Programme Director
Matthias Buehlmaier is a principal lecturer in finance and the BBA(IBGM) program director at HKU Business School, University of Hong Kong (HKU). He has been a Visiting Fellow at the University of Cambridge at Hughes Hall and Cambridge Judge Business School via the Doris Zimmern HKU-Cambridge Hughes Hall Fellowship. Moreover, he has been a Visiting Scholar at the Department of Finance, Regensburg University. Since April 2020 he is an Advance HE Fellow. He is a winner of several teaching and research awards, e.g. the Outstanding Teaching Award and the Teaching Innovation Award granted by HKU, three Faculty Outstanding Teaching Awards, the inaugural Faculty Teaching Innovation Award, the Hong Kong Asian Capital Markets Research Price from the HKSFA, and the Stephan Koren Prize, to name a few.
Module 2: Operationalising AI: From Strategy to Execution in the Workplace
Mr. Eric Moy
Adjunct Assistant Professor
HKU Business School
Eric Moy serves as the Chief Executive Officer of KBQuest, recognized as the Microsoft’s Best AI Partner. KBQuest is renowned for empowering businesses to harness cutting-edge technologies, particularly in the field of Artificial Intelligence, enabling them to attain unprecedented growth and success within the fast-paced digital landscape. Mr. Moy embodies KBQuest’s unwavering dedication to facilitating digital transformation for its clients, employing the transformative power of 3A1C Technologies (AI, Analytics, Automation, and Cloud). As an established leader, he is deeply passionate about building exceptional teams and maintains a steadfast commitment to operational efficiency and flawless execution. Furthermore, Mr. Moy is also the host for the Commercial Radio Hong Kong, where he shares the latest advancements and trends in technology on a weekly basis.
Module 3: Ethics Considerations and Responsible AI Governance
Prof. David S. LEE
Associate Professor of Teaching
BFin (AMPB) Deputy Programme Director and Admissions Tutor
David S. Lee is an award-winning teacher that is active broadly in the areas of ethics, fintech, leadership, law, and corporate governance. A recipient of multiple teaching excellence and teaching innovation awards, David is the first business academic to ever receive a UGC Teaching Award, the highest university teaching honor in Hong Kong. David feels teaching is a wonderful privilege and enjoys being in the classroom and engaging with students. He teaches in the undergraduate, executive education, MBA, and other taught postgraduate degree programs, including the IMBA with Fudan University, and the Executive MBA-Global Asia offered with Columbia Business School and London Business School.
Past Guest Speakers
Dr. Deli ZHAO
Director, Foundation Intelligence Center, Alibaba DAMO Academy
Chief Scientist, Hupan Lab
Ms. Maryann TSENG
Head of International Equity Markets; Senior Managing Director of Strategic Investment, SenseTime Hong Kong
Mr. Kenny AU
General Manager & Head of Operations, The Bank of East Asia Limited
Mr. Timothy LEUNG
Advisor and Former Executive Director, HKAI LAB
Ms. Jeanne LIM
CEO, beingAI Corporation
Mr. Tony TUNG
Principal, NextGen Partners
Mr. Aldric CHAU
General Manager Digital, Cathay Pacific
Dr. Miles WEN
Co-Founder & CEO, Fano Labs
Mr. Warren LI
Venture Capital Business Development Region Lead, Google Cloud
*More speakers from different industries will be announced soon. Speakers are subject to change depending on the programme schedule.
FEES AND FUNDING
Full programme fee:
HK$30,000 for the entire programme
Discounts*
| Type | Discount | Eligibility |
| Early Bird | 5% | Registration has to be submitted by 29 August 2025. |
| Group | 10% | Minimum of three participants from the same organisation registering for the programme. |
| HKU Alumni and Staff / HKAI LAB & AEF’s Network | Discounted fee of HK$25,000 | Please indicate your status in your registration, and we will advise and confirm on your eligibility. |
*Only one type of discount can be applied per enrollment. The discount cannot be used in conjunction with other promotions, discounts or offers. In the event of a dispute, provision of the discount(s) is subject to the sole discretion and final decision of HKU Business School.
Deferment Policy
- Participants may defer their participation in the programme for a maximum of one year only.
- If a participant wishes to defer, they must provide an official statement in English detailing the situation and reason for deferral. This will be reviewed by our faculty office, which will determine whether the deferral request is approved.
- Administrative fees may apply to deferment applications.
CONTACT
Ms. Andrea KUK
Phone: +852 3917 3274
Email: [email protected]
