Strategic Leadership with AI and ML

Lead and revolutionize your business strategies with Artificial Intelligence applications. Integrated with Generative AI

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Course Dates

STARTS ON

28 June 2024

Course Duration

DURATION

14 weeks
4-6 hours per week

Course Fee

PROGRAMME FEE

US$1,900 and get US$190 off with a referral

Course Information Flexible payment available
Course Information Special group enrolment pricing

Applications close on 27 June 2024

Apply before 27 June 2024 and avail early bird tuition assistance of USD100. Use code APAC100ALL5924 while applying.

Why Enrol in Strategic Leadership with AI and ML Programme?

The innovations of digital technology continue to transform industries. Of these innovations, artificial intelligence (AI) has made a significant impact on the way businesses operate. In the Strategic Leadership with AI and ML programme, offered by Singapore Management University, you will explore how to apply the latest AI methodologies to lead digital transformation within your organisation while upscaling your business skillset—no coding experience is required. The programme is designed to expand your understanding of AI and teaches the methodologies used for applying it to business scenarios and strategies and build your leadership credibility.

Who Is This Programme For?

The programme is designed for professionals who aspire to learn more and expand their knowledge of AI and its applications in business scenarios and strategies. Representative industries and roles that can benefit include:

Senior Professionals

Experienced decision-makers aiming to establish or expand businesses or products focused on AI and ML. Seasoned executives and advisors seeking to expand the implementation of AI and ML to capitalize on AI-driven prospects.

Functional Leaders and Managers

Leaders and Managers in various functional domains, including marketing, finance, and other operational sectors, eager to integrate AI technologies into their business operations for improved efficiency and actively contributing to the promotion of innovation.

Technical Professionals

IT and technical experts looking to learn AI integration, frameworks for incorporating AI for organizational change, and Generative AI Applications, to enhance their skill set.

What Will This Programme Do For You?

  • Survey AI technologies and their uses across sectors and functions
  • Identify opportunities within a business to implement AI for better performance
  • Recognise the purpose of ethics and challenges in industry applications
  • Explain the steps to build and deploy AI solutions for business/sector
  • Examine the AI-specific privacy regulations in law
  • Create an executive summary of an AI implementation/improvement plan for a business

Programme Highlights

115+ video lectures

115+ video lectures

40+ Industry Examples

40+ Industry Examples

15+ Assignments

15+ Assignments

8 Discussion Boards

8 Discussion Boards

Real world case studies and examples

Real world case studies and examples

Modules on gen AI including applications and tools like Chat GPT and Google Bard

Live office hour sessions and personalized support from Industry Leaders

Programme Faculty

Faculty Member Sandeep R. Chandukala, PhD

Sandeep R. Chandukala, PhD

Associate Professor of Marketing

Sandeep serves as Associate Professor of Marketing. Prior to joining SMU, Prof Sandeep worked at Indiana University's Kelley School of Business and was a 3M Jr faculty fellow at Indiana University. He has a PhD in Marketing (with a minor in Statistics) from The Ohio State University, MS (MAS) and MBA from University of Texas... More info
Faculty Member Hady W. Lauw, PhD

Hady W. Lauw, PhD

Associate Professor of Computer Science; Director, BSc (Computer Science) Programme; Lee Kong Chian Fellow

Dr Hady W. Lauw is an Associate Professor of Computer Science in the School of Computing Information Systems, where he teaches Data Structures and Algorithms, Recommender Systems, and Machine Learning. He leads the Preferred... More info
Faculty Member Dai Bing Tian, PhD

Dai Bing Tian, PhD

Assistant Professor of Computer Science Education; Director, MITB Artificial Intelligence Programme

Assistant Professor Dai Bing Tian has held various academic appointments at SMU since 2010, including as a Research Engineer, Fellow and Scientist. Currently, he serves as the Assistant Professor of Computer Science Education as well as the Director... More info
Faculty Member Gary Chan Kok Yew

Gary Chan Kok Yew

Professor of Law

Professor Gary Chan has been a faculty member at Singapore Management University for close to two decades, teaching courses on Ethics and Social Responsibility, Law of Torts, Legal System, Methods and Analysis, Health Law and Medical Ethics, amongst others. Prior to joining academia in 2002, he had served... More info
Faculty Member Warren B. Chik

Warren B. Chik

Associate Professor of Law; Deputy Director, Centre for AI and Data Governance

Associate Professor of Law Warren Chik is the Deputy Director of the Centre for AI and Data Governance. He teaches courses on Business Law, Entertainment Law, Information Technology and the Law at SMU. Other teaching and research interests include... More info

Programme Modules

The programme comprises 8 modules. Each module is led by an SMU faculty expert with field experience specific to the AI/ML topics being discussed.
    • Artificial Intelligence - Brief History and Examples in Everyday Life
    • AI, Data and Analytics
    • Data Growth and Big Data
    • Examples of Analytics and Data Usage
    • Different Types of Analytics
    • What is Machine Learning?
    • Regression and Classification
    • Neural Networks and Deep Learning
    • Convolutional Neural Networks
    • Clustering
    • Matrix Factorisation
    • Representation Learning
    • Recurrent Neural Networks
    • Transformers
    • Machine Learning Techniques and Machine Learning Workflow
    • Neural Networks and Deep Networks
    • Examples of Deep Networks in Business
    • Applications of AI in: Retail, Healthcare and Manufacturing
    • AI in Finance
    • AI in the Energy Industry
    • AI in Education
    • AI in Security and Surveillance
    • Benefits of AI
    • Framework for AI
    • AI as a Driver of Digital Transformation
    • AI Failures
    • AI Strategy
    • What Could Go Wrong?
    • Build vs. Buy vs. Other Options
    • Strategies to Identify AI Opportunities
    • Aligning AI with Business Strategy
    • Future of AI
    • Explainable AI (XAI)
    • Emotions and empathy
    • Fair and safe AI
    • Understanding Business Needs
    • Feature Engineering
    • Model Training
    • Model Evaluation
    • Model Deployment
    • Database Design
    • Introduction to Ethics and its Relevance to Organisations and Technology
    • Purpose of Ethics and Relevance to AI/ML
    • Ethical Codes and Guidelines Relevant to AI/ML
    • Ethics and Industry Applications - The Main Challenges
    • Overarching Themes Relating to AI/ML Technology, Data and Ethics
    • Specific Ethical Values Related to AI/ML and Data
    • Ethics and Industry Applications Addressing the Challenges
    • AI Policy and Governance in Singapore
    • AI-Specific Regulations in Law: POFMA, CMA and CSA
    • Personal Data Protection and the Impact of AI on Data Rights and Obligations
    • The Use of AI in Electronic Contracting and Business Models
    • The Legality of AI in Electronic Advertising and Marketing

Industry Examples

Through real-world examples from multiple industries, you'll see how the theories are put into practice.

Netflix

Netflix

Learn about how Netflix held a competition for anyone who could improve their algorithm's performance by more than 10%.

Tik Tok

Tik Tok

Analyse how Tik Tok leveraged consumer focused AI to grow globally at a rapid pace.

Uber

Uber

Understand how Uber uses AI for auto-fill text feature using text mining.

Google maps

Google maps

Learn how Google uses AI to provide real time updates while looking at live traffic feeds.

Spotify

Spotify

Analyse how Spotify provides recommendations through AI driven recommendation systems.

Alexa

Alexa

Examine how voice assistance is possible through AI.

Other companies that are included as examples or as use cases in the programme include Amazon, Microsoft Tay's chatbot, Q, Starhub, DBS, Coca Cola, American Express, Tesla, Sobeys, Argus etc.

Note: All brand, product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with, endorsement by, or association of any kind between them and programme owners.

Bonus Modules

    • What is Generative AI
    • Neural Networks for Generative AI
    • ML Model Building Process
    • Data Collection and Pre-processing
    • Training and Evaluation Overview
    • Transfer Learning and Pre-trained Models
    • Advanced Generative AI Models
    • GAN Training Techniques
    • GAN Evaluation Techniques
    • Additional Considerations
    • Prompt Engineering
    • Prompt Engineering Examples
    • Fine Tuning
    • Fine Tuning Using Additional Data
    • Fine Tuning Model Parameters
    • Introduction to Generative AI Creativity Tools
    • Generative AI Creativity Tools Examples
    • Integrating Generative and Discriminative Models
    • Ethical Considerations
    • Introduction
    • Gen AI Position in
    • Leadership
    • Requisites for Leadership
    • Gen AI Case Study
    • Harnessing Text-based Gen AI Tools
    • Harnessing Image-based Gen AI Tools
    • Gen AI Tools for Leadership
    • Ethical Considerations
    • Tool Demos
Masterclass to address cutting-edge tools and latest developments

Case Studies

Analytics-Driven Transformation at Majid Al Futtaim

Analytics-Driven Transformation at Majid Al Futtaim

Explore how a lifestyle conglomerate with annual revenues over USD 9 Bn designed and employed a data-led, customer-centred transformation strategy to unlock new sources of growth and mitigate the effects of the Covid-19 pandemic on business.

A Deep Learning Start-Up Powers the Internet of Things

A Deep Learning Start-Up Powers the Internet of Things

Explore how Preferred Networks, Inc—a start-up specialising in deep learning technologies—differentiated itself early on by aligning with Japan's manufacturing might and bringing deep learning to the Internet of Things.

Vispera: Visual Intelligence for Retail

Vispera: Visual Intelligence for Retail

See how computer-vision tech provider Vispera used technology and its automated visual analysis to help retail and fast-moving consumer goods companies around the world minimise stockouts, increase sales, reduce personnel costs and improve operational efficiencies.

TikTok’s AI Strategy: ByteDance’s Global Ambitions

TikTok’s AI Strategy: ByteDance’s Global Ambitions

Explore how ByteDance—the company behind TikTok—leveraged capabilities in consumer-focused AI to become one of the first Chinese Big Tech digital platforms to succeed outside China, notably in the US and India.

Certificate

Certificate

Upon successful completion of the programme, participants will be awarded a verified digital certificate by Singapore Management University.

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All certificate images are for illustrative purposes only and may be subject to change at the discretion of Singapore Management University.

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