Course Information

  • Sessions 1 day
  • Duration 8 hrs
  • Level Beginner to Intermediate
  • 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.

Funding Validity

Funding for this course is valid from 13 Oct 2026 to 12 Oct 2028. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

  • Participants will develop a foundational understanding of AI ethics and governance by applying ethical principles, organisational responsibilities, and governance considerations to AI systems, enabling them to recognise ethical challenges and support responsible decision-making in workplace AI adoption.
  • Learners will apply Responsible AI and Generative AI practices to assess governance challenges arising from agentic and generative AI systems, including issues related to autonomy, transparency, accountability, human oversight, data usage, and responsible deployment across organisational contexts.
  • Participants will analyse AI regulations, laws, standards, and compliance requirements by evaluating relevant legal and regulatory considerations and applying regulatory compliance principles to support responsible AI implementation while reducing legal, ethical, and operational exposure.
  • Learners will identify AI-related risks and apply appropriate control mechanisms, safeguards, and mitigation approaches by assessing potential impacts across data, technology, operational, ethical, and compliance dimensions, supporting effective AI risk management and organisational resilience.
  • Participants will develop AI ethics and governance frameworks that incorporate accountability, oversight, responsibilities, controls, compliance, and responsible AI practices, while evaluating how effective governance can support organisational objectives, stakeholder trust, sustainable adoption, and long-term commercial value.

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

CASL - Agentic AI and Gen AI Ethics and Governance

Course Code: TGS-2026066717
  • CASL
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

As artificial intelligence becomes increasingly integrated into business operations, organisations require professionals who can understand and apply responsible AI practices while managing ethical, legal, and operational risks. This course provides learners with the knowledge and practical skills to apply AI ethics, governance, risk management, and regulatory principles throughout the AI lifecycle. Learners will explore core AI ethics principles, organisational responsibilities, and governance concepts, including the challenges associated with generative and autonomous AI systems. The course covers key AI regulations, standards, and data protection requirements, as well as methods for identifying, assessing, and mitigating AI-related risks. Through practical activities and workplace scenarios, participants will develop competencies to apply governance controls, design responsible AI frameworks, and evaluate how ethical AI practices can build trust, support compliance, and contribute to sustainable business value.

Designed for beginner to intermediate learners, this course is suitable for business professionals, managers, compliance personnel, risk professionals, technology practitioners, AI users, business analysts, and individuals involved in AI adoption or governance. No advanced technical or programming experience is required. As organisations across industries continue to adopt generative AI and automated AI systems, professionals who can support responsible AI adoption and regulatory compliance are increasingly valuable. The competencies developed in this course support career development and job upgrading by enabling learners to identify AI governance risks, apply appropriate controls, interpret regulatory requirements, and contribute to responsible AI implementation within their organisations. Learners will also build a practical foundation for supporting AI governance, strengthening organisational accountability, and promoting safe and compliant use of AI.

CASL Funding

Full Fee $500.00 Before GST
GST $45.00 9% of fee
Baseline Nett $295.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $195.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

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.

Direct Application on SkillsFuture Portal

Course FeeBefore Funding

$500.00 (GST-exclusive)
$545.00 (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

Topic 1: AI Ethics and Governance Fundamentals

Topic 2: Responsible AI and Generative AI Governance Challenges

Topic 3: AI Regulations, Laws, Standards and Compliance

Topic 4: AI Risk Identification, Controls and Mitigation

Topic 5: Developing AI Ethics and Governance Frameworks

Assessment

  • Case Study

Course Info

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: 21-65 years old

Minimum Software/Hardware Requirement

Software: Latest web browser (Google Chrome or Microsoft Edge) with internet access.

Hardware: Windows or Mac Laptops

SkillsFuture Credit

  • Eligible Singapore Citizens can use their SkillsFuture Credit to offset the course fee payable after funding.

Funding Eligibility Criteria

Self-sponsored learners (individuals)

  • Singapore Citizens and Singapore Permanent Residents aged 21 and above.
  • Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).

Company-sponsored learners

  • Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
  • Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
  • Employers can also claim Absentee Payroll funding for employees who attend during working hours.
  • Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

  • Attendance is taken digitally with Singpass for every session, including the assessment.
  • You must complete the course and pass all assessments (assessed as Competent).
  • If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
  • 9% GST is charged on the full course fee before funding.
  • Promo and discount codes cannot be used on funded courses.
  • Any balance after funding can be paid in cash.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

  • Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
  • SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
  1. Check your company's SFEC eligibility and balance on EnterpriseSG.
  2. Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
  3. Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
  4. No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

  1. When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
  2. Discuss the decision with the assessor or the assessment manager first.
  3. If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
  4. Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
  5. An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
  6. You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Job Roles

  • Business Professionals and Managers
  • Compliance Personnel and Risk Professionals
  • Technology Practitioners and Business Analysts
  • AI Users and Individuals involved in AI Adoption or Governance

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