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WSQ - Developing Ethical Strategies for Responsible Generative AI

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: : Responsible AI and Generative AI Practices
TSC Code: ICT-INT-0055-1.1

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.

Download Course Brochure

Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - Developing Ethical Strategies for Responsible Generative AI

Course Code: TGS-2026061329

WSQ
SkillsFuture Credit
PSEA
UTAP
SFEC
Absentee Payroll
MCES

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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.

Full Fee ₹1,000.00 Before GST

GST ₹90.00 9% of fee

Baseline Nett ₹590.00 SG/PR age 21+ · 50% funded

MCES / SME Nett ₹390.00 SG age 40+ · 70% funded

Funding and Grant Applications

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

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

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.

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
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)

Written Exam
Practical Exam

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 is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.