(SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection
- Artificial Intelligence
- Data Protection
Delivery Mode: This programme is conducted in-person and via Asynchronous and Synchronous E-learning.
Document Submission: You will need to upload 2 documents to complete your application. Please review the Notes on Application Process below before you begin.
To use your SkillsFuture Credit, please submit your claim through our payment portal. Do not submit the claim manually via the SkillsFuture page. Please refer to our step-by-step guide here.
Please refer to respective modules for the dates and times.
Who Should Attend
- Business Professionals wanting to apply Generative Artificial Intelligence (GenAI) responsibly
- Managers involved in digital transformation
- Compliance and Risk Management Officers
- Data Protection Officers (DPOs)
- Data Governance Officers
PREREQUISITE
- Participants should preferably be a degree holder or a diploma holder with at least 3 years of relevant working experience
Overview
Professionals no longer need technical expertise to master AI and leverage it as a competitive advantage. An AI professional is someone who is able to do due diligence, adopt and adapt a new generation of AI apps as well as use these applications within their organisations ethically and responsibly. Get ahead of the curve in understanding the use and best practice of generative AI.
By the end of the course, participants will have a solid understanding of the practical uses of GenAI, the ethical, discriminatory and privacy issues and how to use it responsibly. Participants will also have hands-on experience in developing a GenAI business digital transformation project plan (for a department of choice), with a responsible use policy, (where possible, you might work with an organisation for their Digital Transformation Project), under a capstone project.

Learning Objectives
At the end of the 20-week course, participants will be able to:
- Appreciate the potential benefits and issues of this new technology
- Apply Generative Artificial Intelligence (GenAI) to business productivity applications such as PowerPoint, Excel, and email
- Learn to approach and use GenAI for different tasks in various organisational context
- Understand how GenAI is being used with various platforms and tools such as websites, apps, social media, etc
- Evaluate and improve the performance and quality of conversation prompts using language models such as ChatGPT
- Use data to augment GenAI models
- Handle ethical and data protection issues related to GenAI such as transparency, accountability, etc
Topic/Structure
To achieve the (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection, participants will need to complete the following modules in sequential order:
• Module 1: A Practical Approach to Generative AI
Generative AI possesses various use cases for optimising business operations. It can be employed to automate workflows, create innovative products or services, optimise marketing campaigns and predict trends.
With no coding knowledge required, Module 1 delves into the hierarchy of AI and how it learns, before exploring the world of Generative AI, including text, audio, image and video generation. This course incorporates lots of hands-on practice, demonstrations and case studies to provide participants with a deep understanding of how this technology can be applied in different organisational contexts.
• Module 2: Prompt Engineering - Conversational AI and Design
Conversational artificial intelligence (AI) is a set of technologies that can recognise and respond to speech and text inputs. As AI improves and becomes more common in our daily lives, businesses need to learn how to leverage conversational AI for better service and greater efficiency.
Module 2 is designed for individuals and teams looking to enhance their conversational AI skills and learning about effective prompt techniques. In this course, participants will gain hands-on experience with conversational AI tools and learn how to design and implement conversational AI applications without any coding. The course also includes guidance on responsible use and ethical considerations surrounding conversational AI, helping participants to implement these technologies responsibly and safely.
• Module 3: Applications of Generative AI - Business Productivity and Human Resource
Generative AI is now reshaping the familiar business processes, boosting productivity and streamlining repetitive tasks. But what exactly are the use cases the technology offers to companies in different industry domains?
Designed for professionals in all industries, this module will provide participants with tools and knowledge that will help them optimise their company's output using the power of AI. Participants will learn how to leverage the latest AI technology to streamline their workflow, increase efficiency and ultimately achieve their business objectives faster. Participants will also be guided on the ethical and responsible use of AI.
• Module 4: Application of Generative AI in Digital Marketing
Generative AI can streamline content creation for multiple channels, optimising it for each platform while maintaining consistent messaging. This means maximising resources and reducing time spent on content creation, freeing you up to craft the perfect marketing strategy, likely involving Generative AI.
Specifically tailored for marketing professionals, this module allows participants to master the use of the latest techniques and tools in Generative AI and gain hands-on experience in applying Generative AI to optimise their marketing campaigns and grow their business exponentially.
• Module 5: Application of Generative AI in Learning Management
One of the most prominent applications of Generative AI in learning is the automation of content creation for digital learning materials.
By leveraging Generative AI this way, developers can create new content and learning materials, drawing on existing resources such as audio recordings, video clips, images and simulations. This allows educational institutions, corporate learning and development units, and businesses to develop customised learning experiences without manual coding or rapid editing. Ultimately, generative AI can streamline creating and improving digital learning materials, allowing educators to focus on more meaningful tasks such as assessing learning outcomes and providing personalised instruction.
• Module 6: Responsible Use and Ethical Management of Generative AI
In a few short months, Generative AI has become a very hot topic. Looking beyond the hype, Generative AI is a groundbreaking technology, enabling novel capabilities as it moves rapidly into the enterprise world. As enterprises adopt Generative AI, they must simultaneously mitigate inherent risks in areas such as ethics, bias, transparency, privacy and regulatory requirements.
This module delves deep into the many complexities surrounding Generative AI ethics. At the end of the course, participants will develop a solid understanding of the ethical considerations surrounding Generative AI and be well-prepared to tackle the challenges associated with its use in organisations.
• Module 7: Industry-based Gen AI Workshop and Self-Paced Tutorials
Module 7 offers participants an in-depth understanding of how Generative AI is being developed, applied, and deployed across different industries. By exploring real-world case studies, participants will gain valuable insights into the various ways businesses use AI to optimize operations, foster innovation, and address complex challenges. The module also features a self-paced revision section, enabling participants to review and strengthen key concepts from earlier modules. This flexible approach ensures participants are fully prepared for practical project work, equipping them to confidently apply their knowledge and skills to industry-specific projects.
• Module 8: Capstone Project
This capstone project provides participants with the practical skills to design and develop a Generative AI project through hands-on experience. Participants will gain expertise in documenting, communicating, and presenting project details and implementation plans to stakeholders. Additionally, participants will work collaboratively to create a comprehensive AI-driven Business Digital Transformation Plan, tailored to a department of their choice, including a responsible use policy to ensure ethical AI deployment.
Assessment
As part of the requirement for Skills and Workforce Development Agency (SWDA), there will be an assessment conducted at the end of every module. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment for each of the 10 modules in order to be eligible for programme funding and to be awarded the digital (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection issued by SMU Academy.
Fee Table
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
|
Singapore Citizen < 40 years old Permanent Resident
|
$6,2131 |
|
Singapore Citizen ≥ 40 years old4 |
$2,4132 |
|
Singapore Citizens who qualify for AFS |
$1,4633 |
All prices include 9% GST
1 Up to 70% course fee funding
2 Up to 90% course fee funding under SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
3 Up to 95% course fee funding under Additional Funding Support ("AFS") where participants must be:
- Singapore Citizens; and
- Long-term unemployed individuals (6 months or more); or
- Individuals in need of financial assistance [ComCare Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients]; or
- Persons with disabilities
4 SkillsFuture Level-Up Programme for Mid-Career Individuals (NEW)
A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Intake Information
Next Intake: To be advised
| Modules | Dates |
|---|---|
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 1: A Practical Approach to Generative AI | 19 - 20 Nov 2026 (Classroom Facilitated Training) [Open for Registration] |
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 2: Prompt Engineering - Conversational AI and Design | 30 Nov - 1 Dec 2026 (Classroom Facilitated Training) [Open for Registration] |
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 3: Applications of Generative AI - Business Productivity and Human Resource | 14 - 15 Dec 2026 (Classroom Facilitated Training) [Open for Registration] |
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 4: Application of Generative AI in Digital Marketing | 16 - 17 Dec 2026 (Classroom Facilitated Training) [Open for Registration] |
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 5: Application of Generative AI in Learning Management | 7 - 8 Jan 2027 (Classroom Facilitated Training) [Open for Registration] |
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 6: Responsible Use and Ethical Management of Generative AI | 28 - 29 Jan 2027 (Classroom Facilitated Training) [Open for Registration] |
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 7: Industry-based Gen AI Workshop and Self-Paced Tutorials | 3 - 22 Feb 2027 [Asynchronous E-learning] 2 - 25 Feb 2027 (Classroom Facilitated Training) |
| (SCTP) Advanced Certificate in Generative AI, Ethics and Data Protection Module 8: Capstone Project | 2 - 30 Mar 2027 (Classroom Facilitated Training) [Open for Registration] |
Notes on the Application Process
Prepare Your Documents: Download the 2 required documents below, complete them, and sign where necessary.
Letter of Commitment [Click here to download]
Upload Required Documents: During the registration process, you will be required to upload the following 3 documents:
Updated Resume
Signed Letter of Commitment
Please note that admission to the programme is subject to screening, and submitting the required documents does not guarantee placement in the programme.