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WSQ - Developing Ethical Strategies for Responsible Generative AI

WSQ - Developing Ethical Strategies for Responsible Generative AI

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WSQ Developing Ethical Strategies for Responsible Generative AI provides learners with the tools to address the societal, cultural, and ethical implications of AI systems. Participants will examine the risks of biased algorithms, explore their impact on minority groups, and assess how generative AI affects fairness across diverse contexts. The course also covers evaluating trade-offs between privacy, performance, and environmental sustainability, enabling learners to make informed decisions when designing or deploying AI solutions.

Learners will develop practical strategies to integrate ethical principles into generative AI workflows, including transparency, accountability, and sustainability considerations. The course includes guidance on applying governance frameworks, communicating AI capabilities responsibly, and implementing measures to mitigate risks in AI systems. By championing fairness and trust, participants will be prepared to guide organisations in adopting responsible AI practices that balance innovation with societal responsibility.

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Analyse the societal impacts and ethical risks of biased AI algorithms across different cultural and minority contexts.
  • LO2: Evaluate ethical trade-offs in generative AI systems, balancing environmental, privacy, and framework considerations.
  • LO3: Develop ethical strategies and apply AI governance principles to promote fairness, transparency, and sustainability.
  • LO4: Implement responsible AI practices and champion transparency to reduce societal bias and ethical risks in deployment.

Course Brochure

TBD

Skills Framework

This course follows the guideline of ICT-INT-0055-1.1: Responsible AI and Generative AI Practices under ICT Skills Framework

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee GST Nett Fee after Funding (Incl. GST)
Baseline MCES / SME
$1,000.00 $90.00 $590.00 $390.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2026061329)

  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA. Once you are eligible for PSEA, please email to us.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us. 

Course Code: TGS-2026061329

Fee

$1,000.00 (GST-exclusive)
$1,090.00 (GST-inclusive)

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Course Date

Course Time

* Required Fields

Course Information

  • Session (days): 2
  • Duration (hrs): 16
  • Level: Beginner
  • Additional Note: Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.
  • Venue:
    The Mode of Learning is Online Classes

    Duration

    2 months (Full Time)

      Assessment

      3 hours onine assessment after each module

        Class (No of teacher: student): 1:20

          Intake

          • 3 Nov 2025 to 29 Sep 2026
          • 4 May 2026 to 26 June 2026
          • 2 Jan 2026 to 2 Mar 2026
          • 2 Mar 2026 to 27Apr 2026

          Enrolment Requirement

          • Age: 21 years old and above
          • Language Proficiency: At least C6 for GCE "O" Level English
          • Academic: At least C6 for GCE "O" Level in any 3 subjects

          Graduation Requirement

          • Attendance: 75%
          • Assessment: Passed

          Post-Course Support

          • (TESTING) We provide free consultation related to the subject matter after the course.
          • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

          Course Cancellation/Reschedule Policy

          • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
          • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
          • Note the venue of the training is subject to changes due to availability of the classroom

          Course Details

          LU1: Foundations of Business Presentation Delivery in a Generative AI World

          T1. Understanding Business and Organisational Contexts (K1, A1)

          T2. Introduction to Generative AI for Business Presentation Delivery (A1)

          LU2: Planning Effective Business Presentations

          T1. Setting Objectives and Selecting Presentation Modes (K2, A2)

          T2. Developing Targeted Presentation Collaterals (A2)

          LU3: Delivering Impactful Business Presentations with Generative AI

          T1. Techniques to Engage and Persuade Audiences (K3, A3)

          T2. Handling Discussions and Negotiations (A3)

          LU4: Reviewing and Enhancing Business Presentation Strategies

          T1. Reviewing Outcomes and Continuous Improvement (K3, A4)

          Course Info

          Promotion Code

          Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

          Minimum Entry Requirement

          Knowledge and Skills

          • Able to operate using computer functions
          • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

          Attitude

          • Positive Learning Attitude
          • Enthusiastic Learner

          Experience

          • Minimum of 1 year of working experience.

          Target Age Group: 18-65 years old

          Minimum Software/Hardware Requirement

          Software:

          TBD

          Hardware: Window or Mac Laptops

          Job Roles

          • AI Ethics Officer
          • Responsible AI Strategist
          • Data Protection Officer
          • Governance, Risk & Compliance (GRC) Analyst
          • Corporate Social Responsibility (CSR) Manager
          • Policy Advisor (Technology & AI)
          • AI Governance Consultant
          • Risk Management Executive
          • Digital Transformation Manager
          • AI Product Manager
          • Technology Compliance Specialist
          • Research Analyst (AI Ethics)
          • Innovation Manager
          • Sustainability Analyst
          • Privacy and Data Governance Officer
          • Public Policy Manager (AI & Technology)
          • Business Strategy Consultant
          • Trust & Safety Specialist
          • Diversity and Inclusion Officer
          • Legal Counsel (AI & Technology Ethics)

          Trainers

          Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is an accomplished data science leader with deep expertise in machine learning, deep learning, big data, and applied AI, currently serving as the Head of Data Science at Plano Pte. Ltd. His portfolio includes developing predictive healthcare analytics, building RShiny applications, and deploying AI-driven solutions where ethical considerations such as fairness, privacy, and transparency are central. With strong technical proficiency in R, Keras, h2oAI, Spark, Tableau, and AWS-based big data environments, Dwight has spearheaded projects ranging from healthcare risk prediction to large-scale text mining and social media sentiment analysis. These experiences have positioned him to understand both the transformative opportunities of generative AI and the pressing need for ethical frameworks to guide its adoption
          .
          As a certified ACLP trainer and experienced educator, Dwight also lectures at the London School of Business and Finance (LSBF) and serves as an associate trainer with Tertiary Courses. He has coordinated diploma programs in data analytics and taught across domains such as AI ethics, data visualization, and responsible machine learning. His teaching philosophy emphasizes equipping learners with the ability to design and implement AI solutions that are not only technically sound but also ethically aligned—addressing issues like bias mitigation, transparency, and responsible deployment. With his unique blend of industry leadership and pedagogical expertise, Dwight is well-positioned to help professionals develop actionable strategies for responsible use of generative AI in business and society

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          About Us

          Tertiary Infotech Academy, established in 2012, is a leading skills-based training provider dedicated to supporting Singapore’s Industry 4.0 transformation. We are a registered Private Education Institute (PEI), offering Diploma and Advanced Certificate programs in Cyber Security and Artificial Intelligence.

          As a strong advocate for professional and lifelong learning, we are a WSQ and IBF Approved Training Organisation (ATO). We also serve as an Authorized Training Partner for major global technology and certification bodies, including Microsoft, CompTIA, AWS, Pearson VUE, Autodesk, Linux Foundation.

          In addition, our academy is both a Pearson VUE, Kryterion, PSI Authorized Test Centers enabling learners to access industry-recognized examinations in a convenient and professional environment.

          Training Grants and Subsidies

          WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
          SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
          SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
          IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
          UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
          PSEA: Individual can pay using using their Post Secondary Education Account

          Authorised Training Partners
          1

          Microsoft Learning Partner

          2

          CompTIA Authorised Delivery Partner

          3

          Linux Foundations Authorised Training Partner

          4

          AWS Authorised Training Partner (Reseller)

          5

          Autodesk Authorised Training Center

          6

          Pearson Vue Authorised Training Partner

          Authorized Testing Centers
          1

          Pearson VUE Authorised Test Center

          2

          Kryterion Authorized Testing Center

          3

          PSI Authorized Testing Center

          Approved Training Organizations
          1

          WSQ Approved Training Organization

          2

          Institute of Banking & Finance (IBF) Approved Training Provider

          3

          Singapore Chartered Accountant (SAC) Accredited Training Organisation

          4

          Approved Private Educational Insitutes (PEI)

          Approved Suppliers
          1

          GeBiz Registered Supplier

          Regional Training Centers
          1

          Singapore (Headquarter)

          2

          Malaysia Kuala Lumpur and Penang

          3

          Bhutan

          4

          India

          5

          Ghana Accra

          6

          Nigeria Lagos

          Contact Us Information

          +65 6100 0613

          whatsapp

          https://wa.me/6588666375

          Tertiary Courses SG Telegram

          Telegram

          Tertiary Courses SG AI Chatbot

          AI Chatbot

          Tertiary Courses SG GPT

          Tertiary Courses SG GPT

          enquiry@tertiaryinfotech.com

          Training Centers venue :
          12 Woodlands Square, #07-85/86/87, Woods Square Tower 1, Singapore 737715 (Disabled-Friendly) .

          Mailing address:
          12 Woodlands Square, #07-86, Woods Square Tower 1, Singapore 737715

          Information
          Enquires
          Training Grant and Subsidy
          Our Websites
          Certified Trainers

          Tertiary Infotech Academy Pte. Ltd. | PEI registration number: 201200696W | Registration period: 19 Nov 2025 – 18 Nov 2027