• Home
  • WSQ - Responsible Generative AI Basics

Increase Your Business with Excellent Customer Service

Course Information

  • Sessions 1 day
  • Duration 8 hrs
  • Level Beginner
  • Assessment 1 hr

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.

Skills Framework

TSC Title
: Responsible AI and Generative AI Practices and MED-ACE-2018-1.1: Data Analytics
TSC Code
ICT-BAS-0055-1.1

Learning Outcomes

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

  • LO1: Apply ethical reasoning to assess generative AI outputs and guide responsible decision-making in AI implementation.
  • LO2: Apply privacy safeguards to protect sensitive data used in generative AI through anonymisation and secure storage methods.
  • LO3: Compare generative AI systems for ethical compliance based on intellectual property, privacy, and environmental impact.
Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
  • 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 - Responsible Generative AI Basics

Course Code: TGS-2025060472
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

Be the first to review this product

What's This Course About

WSQ Basic Practices for Responsible Generative AI Workflows provides foundational knowledge for professionals aiming to implement generative AI ethically and responsibly. Learners will explore core ethical principles, assess potential risks in AI-generated content, and apply ethical reasoning in decision-making. The course encourages professional scepticism in evaluating AI outputs and reinforces best practices for the responsible use of generative AI in various workplace settings.

Participants will gain hands-on experience in applying basic privacy protection techniques, including data anonymisation, de-identification, and secure storage. Learners will also evaluate different generative AI systems based on key factors such as intellectual property, data privacy, and environmental sustainability. This course is ideal for employees, team leads, and professionals who are beginning to integrate AI tools into their workflows and want to do so responsibly, with a focus on governance and ethical compliance.

WSQ Funding

Full Fee $400.00 Before GST
GST $36.00 9% of fee
Baseline Nett $236.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $156.00 SG age 40+ · 70% funded
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-2025060472)

  • 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 download and fill up the PSEA Withdrawal Form and email to us. 

Course FeeBefore Funding

$400.00 (GST-exclusive)
$436.00 (GST-inclusive)

Course Date

* Required Fields

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.

Post-Course Support

  • 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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

LU1: Ethical Principles of Generative AI

T1: Ethical considerations and potential risks of generative AI interaction

T2: Ethical principles in AI

T3: Apply ethical principles in decision-making related to AI

T4: Exercise professional scepticism to exercise sound judgement on Gen AI output

LU2: Generative AI Privacy Techniques

T1: Data anonymisation and de-identification techniques

T2: Apply privacy measures when handling data for AI applications (e.g., implement simple data anonymisation and de-identification techniques, secure data storage using basic encryption)

T3: Design guidelines or strategies for ethical AI use, including use of sensitive data in generative AI tools

LU3: Best Practices of Responsible Generative AI

T1: Responsible AI principles and best practices for development and deployment, including intellectual property, data privacy and environmental impact considerations

T2: Compare AI systems based on considerations such as compliance with intellectual property, data privacy and environmental impact

T3: Compare ethical issues in AI applications

Assessment

  • 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

Job Roles

  • Administrative Executive
  • Data Entry Officer
  • AI Project Coordinator
  • Customer Service Officer
  • Digital Transformation Assistant
  • Marketing Executive
  • Compliance Assistant
  • HR Executive
  • IT Support Officer
  • Operations Coordinator
  • Learning & Development Officer
  • Junior Data Analyst
  • Office Manager
  • Content Assistant
  • Records Management Officer
  • Project Assistant
  • Communications Executive
  • Business Support Executive
  • Tech Integration Assistant
  • Junior AI Compliance Analyst

Trainers

Trainers

Dr. Alfred Ang: Dr. Alfred Ang is a highly accomplished AI and digital transformation leader with more than two decades of experience spanning industry, research, and adult education. As the Chief Instructional Designer, Chief Technology Officer, and Chief Information Officer of Tertiary Infotech Pte Ltd, he has overseen the development of over 500 WSQ- and IBF-accredited courses, ensuring alignment with national skills frameworks and global standards. Holding a PhD from the National University of Singapore alongside advanced credentials such as PMP®, CSM®, AWS Certified AI Practitioner, Microsoft Certified Azure AI Engineer, and SCS Certified Senior AI Ethics Professional, Dr. Ang integrates cutting-edge technical expertise with curriculum innovation. His extensive portfolio includes applied projects in agentic AI, generative AI, robotics, and intelligent automation, where he has emphasized the importance of responsible workflows that prioritize fairness, accountability, and transparency
.
Beyond courseware development, Dr. Ang has led in-house and industrial AI projects, including multimodal AI platforms, LLM-powered robotics, and automated curriculum-generation workflows. He also provides consultancy in workplace learning, helping organizations adopt AI-driven solutions that are both effective and ethically grounded. As a mentor, he has guided polytechnic and university interns in AI, robotics, and digital transformation, preparing the next generation of professionals to work responsibly with emerging technologies. With his unique blend of academic depth, industry leadership, and training excellence, Dr. Ang is well positioned to guide learners in understanding and applying basic practices for responsible generative AI workflows, ensuring that innovation is deployed with integrity and societal benefit in mind

Review

Write Your Own Review

You're reviewing: WSQ - Responsible Generative AI Basics

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment