showSidebars ==
showTitleBreadcrumbs == 1
node.field_disable_title_breadcrumbs.value ==

Strategic Leadership with AI and ML

Programme Partner

Overview

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.

  • Next Course Starts On 27 September 2024 (Fri)
  • Duration14 weeks, Online 4-6 hours per week
  • Level Advanced
  • VenueOnline
Learning Objectives

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

Live office hour sessions and personalized support from Industry Leaders

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

Live office hour sessions and personalized support from Industry Leaders

Live office hour sessions and personalized support from Industry Leaders

Topics/Structure

  • 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

Who Should Attend

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.

AI Led Business Strategies.jpg

Assessment

Schedule

Start Date(s) : Fri, 09/27/2024 - 12:00

Intake Information :

Refer to Online Singapore Management University Courses - Emeritus - Online Certificate Courses | Diploma Programs for the latest updates on application dates and discounts.

 

For more enquiries, please email to monica.taneja@emeritus.org or ruswelt.pereira@emeritus.org.

Alternatively, you may also write to us at exd@smu.edu.sg for any urgent matters related to the programme.