Strategic Leadership with AI and ML
Lead and revolutionize your business strategies with Artificial Intelligence applications. Integrated with Generative AI
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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.
Strategic Leadership in AI: Navigate the Future with Machine Learning, Ethics & Innovation
Join Prof. Sandeep Chandukala as he explores AI and ML technologies, applications, and ethical frameworks. Gain practical insights and strategic skills to lead transformative AI initiatives in your organisation.
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
40+ Industry Examples
15+ Assignments
8 Discussion Boards
Real world case studies and examples
Modules on gen AI including applications and tools like Chat GPT and Google Gemini
Live office hour sessions and personalized support from Industry Leaders
Programme Faculty
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 ...
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 Syst...
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...
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, ...
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 Tech...
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.
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.
Netflix
Learn about how Netflix held a competition for anyone who could improve their algorithm's performance by more than 10%.
Tik Tok
Analyse how Tik Tok leveraged consumer focused AI to grow globally at a rapid pace.
Uber
Understand how Uber uses AI for auto-fill text feature using text mining.
Google maps
Learn how Google uses AI to provide real time updates while looking at live traffic feeds.
Spotify
Analyse how Spotify provides recommendations through AI driven recommendation systems.
Alexa
Examine how voice assistance is possible through AI.
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
Masterclass to address cutting-edge tools and latest developments
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
Case Studies
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
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
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
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.
Testimonials
Past participants profile
Past participants of Emeritus work at
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.
Programme Completion Certificate
Upon successful completion of the programme, participants will be awarded a verified digital certificate by Singapore Management University.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of Singapore Management University.
FAQs
This 14-week online AI course equips professionals with practical frameworks and strategic insights to lead digital transformation using AI and ML. With 115+ video lectures, real-world case studies, and industry expert-led sessions, it bridges the gap between technical understanding and executive decision-making.
Yes. Participants who complete the programme receive an artificial intelligence certification from Singapore Management University. This credential demonstrates their ability to lead AI-driven initiatives across business functions and industries.
The programme focuses on applied artificial intelligence, with modules covering AI implementation, deployment, and regulation. Learners explore practical AI/ML applications across sectors like finance, retail, and tech, through tools like ChatGPT and Google Bard.
Yes. This course includes comprehensive machine learning training through modules on ML technologies, business transformation, model evaluation, and ethics. It’s ideal for leaders who want to understand ML's business value without needing coding skills.
Participants engage in scenario-based discussions, assignments, and assessments that simulate real-world AI and ML projects. The capstone-style output involves creating an executive summary of an AI implementation or improvement plan.
Yes. The programme aligns with global AI and ML certification standards by combining theory, ethics, governance, and real-world applications. It prepares professionals to lead responsibly in AI-focused organizations.
Absolutely. Learners gain exposure to cutting-edge AI and ML tools such as ChatGPT and Google Bard, with dedicated bonus modules covering Generative AI and the latest developments in automation and prediction.
Through case studies from companies like DBS, Tesla, Amazon, and American Express, the programme demonstrates how AI and ML applications can be deployed across marketing, finance, and operations to drive innovation and efficiency.
Yes, this programme can be considered an advanced AI course for non-coders, as it goes beyond basic principles. It explores leadership frameworks, deployment strategies, legal considerations, and the ethical use of AI at scale.
Yes. As a top-tier AI course in Singapore offered by SMU—one of Asia’s leading institutions—this programme combines academic rigor with practical insights. Its online delivery and internationally applicable curriculum make it an ideal choice for professionals around the world looking to lead AI-driven business transformation.
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options available.
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