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WSQ - AI for Cyber Security

Sessions 4 days
Duration 32 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: Security Strategy
TSC Code: ICT-SNA-4021-1.1

Funding for this course is valid from 20 Oct 2023 to 19 Oct 2027. Register and complete the course within this period to qualify for funding support.

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

LO1: Identify security risks, threats, and assess gaps in controls impacting business processes.
LO2: Translate security objectives into specific programmes considering security programme design techniques.
LO3: Develop a detailed action plan for security programmes in line with information security architectures.
LO4: Deliver advice for adoption of security architectures, monitoring their effectiveness against standards.

Download Course Brochure

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.
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 - AI for Cyber Security

Course Code: TGS-2023039177

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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AI for Cyber Security equips participants with practical knowledge of how artificial intelligence is transforming cyber defence, threat detection, security analysis, and incident response. The course explores how AI can process large volumes of security data, identify unusual behaviour, detect emerging threats, and support faster, more informed security decisions.

Participants will learn to apply AI tools to analyze system and network logs, identify indicators of compromise, assess vulnerabilities, detect phishing and malicious activities, and summarize threat intelligence. They will also explore how AI can assist with attack-pattern recognition, risk prioritization, incident investigation, response planning, and the automation of repetitive security tasks.

The course examines both the defensive and malicious uses of AI, including AI-generated phishing, automated cyberattacks, deepfakes, adversarial techniques, and attacks targeting AI systems. Through hands-on security scenarios, learners will practise evaluating AI-generated findings, reducing false positives, protecting sensitive information, and maintaining appropriate human oversight. By the end of the course, participants will understand how to use AI responsibly to strengthen cyber threat analysis, improve incident response, and enhance organizational cyber resilience.

This course is part of our AI training in Singapore, where you can browse all our AI courses. See more AI security training.

Full Fee $2,000.00 Before GST

GST $180.00 9% of fee

Baseline Nett $1,180.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $780.00 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

PSEA

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

Check PSEA Eligibility

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, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

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

Topic 1: AI-Assisted Security Risk, Threat and Control-Gap Analysis

Topic 2: Designing AI-Powered Cybersecurity Programmes

Topic 3: Developing AI-Driven Security Architecture and Action Plans

Topic 4: Monitoring, Evaluating and Governing AI Security Solutions

Written Exam
Practical Exam

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:

You will need the following for this course:

A free account on a generative AI assistant of your choice, e.g. ChatGPT, Google Gemini or Microsoft Copilot (the free tier is sufficient)

Hardware: Windows PC or Mac laptop

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).
Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

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, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA).

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
We email you an invoice showing the course fee after funding.
From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
Click Submit a Claim and search for this course by its course code, TGS-2023039177.
Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

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.

Check your company's SFEC eligibility and balance on EnterpriseSG.
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.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
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.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

Check that this course shows the PSEA tag on its MySkillsFuture page.
Check your PSEA balance on MOE's Student Finance System with Singpass.
Download and complete the PSEA withdrawal form, then submit it to us.
We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

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

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.
Discuss the decision with the assessor or the assessment manager first.
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.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
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.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Security Analyst
SOC Analyst
Information Security Analyst
Threat Intelligence Analyst
Incident Responder
Cybersecurity Engineer
Network Security Engineer
IT Security Manager
Security Consultant
IT Manager
Systems Administrator
Risk Manager
Compliance Officer
Security Researcher
Security professional adopting AI-assisted workflows

Trainers

Dr. Alfred Ang approaches cyber security from the perspective of someone who designs, deploys and secures AI systems himself. A full-stack AI developer, Agentic AI solution architect and technology leader, he serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founded Tertiary Courses, where his work spans system architecture, security, observability and performance optimisation on AWS, Kubernetes and DevOps platforms. He is CompTIA Security+ certified, an AWS Certified Solutions Architect, a Microsoft Certified AI Engineer Associate (AI-102) and Data Scientist (DP-100), and holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU, as well as PMP and ITIL certifications that inform how he thinks about programmes, controls and service management. His GitHub portfolio of more than 300 public repositories includes tertiarytraining, a training environment platform that runs Docker-based WordPress, Ubuntu and Kali Linux labs in the browser with role-based access, OAuth, on-demand container start and stop, and idle auto-shutdown; itsupport, an accessible IT service desk demonstration with a credential-leak guard and a strict Content Security Policy; and workplacesafety-scorm, a SCORM e-learning module built around a narrated security-awareness video with knowledge checks and a scored assessment. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU, and worked earlier in the defence, electronics and semiconductor industries. He is also an IBM certified instructor for the AI Practitioners course, an ACTA-certified trainer and a DACE-certified curriculum developer.

In WSQ AI for Cyber Security, Dr. Ang helps IT, security and risk professionals understand how AI is changing threat detection, security analysis and incident response, and how to apply it in a controlled, accountable way. The course begins with AI-assisted analysis of security risks, threats and control gaps, then moves on to designing AI-powered cyber security programmes and developing AI-driven security architecture and action plans. The final topic covers monitoring, evaluating and governing AI security solutions, so learners can judge whether a tool is actually working and stays within policy. He shows how AI can sift large volumes of logs and alerts to surface unusual behaviour, and is equally clear about its limits: false positives, models that can be manipulated, and the risk of placing sensitive data into the wrong tool. Drawing on his experience of securing cloud workloads and building isolated lab environments, he connects each concept to practical controls such as least privilege, segmentation, logging and review. His background in project management and IT service management helps learners turn analysis into realistic action plans with owners and milestones, and his AI governance training underpins the discussion of accountability. Sessions are structured and aligned to the WSQ competency standards, with scenario-based exercises that reflect real organisational decisions. Learners also examine how attackers use AI, from convincing phishing messages to automated reconnaissance, so defensive plans anticipate the threats they will actually face. To see his security-minded platforms and labs, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Sivanesan Sivakaruniam is an IT governance and cybersecurity professional whose experience spans technology risk management, systems auditing and business process control. Having led digital transformation and compliance initiatives across manufacturing and service industries, he specialises in helping organisations build strong cybersecurity frameworks, with expertise in data protection, user access management and cyber risk mitigation aligned with ISO 27001 and NIST standards. He is also a certified ISO 27001 Lead Auditor and ACTA-qualified trainer who has led implementations across financial and government sectors and delivered training in cybersecurity, IT service management and cloud security across the Asia-Pacific region.

In WSQ - AI for Cyber Security, Sivanesan draws on his expertise in enterprise security architecture and governance to guide learners through AI-assisted security risk, threat and control-gap analysis. Participants then design AI-powered cybersecurity programmes, develop AI-driven security architecture and action plans, and learn to monitor, evaluate and govern AI security solutions. His sessions emphasise risk prioritisation, security programme design and governance, using hands-on case studies. Learners leave able to use AI to support threat detection and security analysis, and to design, evaluate and maintain resilient cybersecurity systems aligned with organisational goals and compliance requirements.

Achim Ludwig Dietzenbach is a CISSP-certified IT security and cloud infrastructure specialist with global experience in enterprise systems, cybersecurity frameworks and Microsoft solutions. Having worked in leadership roles across Europe and Asia, he has designed and deployed secure hybrid infrastructures integrating Microsoft Azure, Active Directory and Microsoft 365. An ACLP-certified trainer, he is known for turning complex security architectures into practical, business-aligned implementations, and his AI security teaching covers AI-assisted log and vulnerability analysis, security posture management and the evaluation of AI-generated findings.

In this WSQ course, Achim draws on his international experience to help learners apply AI to threat detection, security analysis and incident response. Participants use AI to analyse security risks, threats and control gaps, design AI-powered cybersecurity programmes, and develop AI-driven security architecture and action plans. The final topic covers monitoring, evaluating and governing AI security solutions, where his emphasis on critically assessing AI-generated findings is especially valuable. Through a blend of technical insight and real-world best practice, he prepares professionals to use AI responsibly to process large volumes of security data and strengthen their organisation's cyber resilience.

Truman Ng is a cloud and cybersecurity specialist with over two decades of experience in enterprise IT infrastructure, cybersecurity strategy and digital transformation. He holds PMP and Huawei HCIE certifications and is an ACTA-certified trainer who has trained thousands of IT professionals in cloud computing, cybersecurity operations and DevOps automation. His deep technical expertise and hands-on approach have made him a sought-after trainer for enterprise cybersecurity and Microsoft certification programmes, and he combines strategic and technical perspectives when discussing how AI is changing cyber defence.

In WSQ AI for Cyber Security, Truman helps learners build a holistic understanding of how AI is applied across threat analysis and defence. Participants use AI to analyse logs, spot indicators of compromise and assess risks, threats and control gaps, then design AI-powered cybersecurity programmes, security architectures and action plans. His sessions highlight threat modelling, AI governance and incident response planning, and also examine the malicious uses of AI, such as automated attacks and deepfakes. Professionals leave with frameworks to monitor, evaluate and govern AI security solutions in complex enterprise environments.

Agus Salim is an IT consultant and trainer specialising in AI-assisted network defence and incident response, with a background in network engineering, cybersecurity and cloud infrastructure. He has led enterprise projects involving system integration, penetration testing and data protection for organisations across Singapore and the Asia-Pacific region, including work with Citi and Check Point Software Technologies. An ACLP-certified trainer, he holds PMP, CompTIA Security+, CEH and AWS Certified Cloud Practitioner.

In WSQ - AI for Cyber Security, Agus emphasises practical, hands-on learning grounded in his real-world experience of implementing enterprise-grade security. He guides learners through AI-assisted analysis of security risks, threats and control gaps, designing AI-powered cybersecurity programmes, developing AI-driven security architecture and action plans, and monitoring, evaluating and governing AI security solutions. His sessions also draw on intrusion detection, firewall configuration and best practice for securing digital assets. Known for simplifying complex technical concepts, he helps participants apply AI to protect systems and data in both on-premise and cloud environments. Learners work through realistic scenarios that connect each AI technique to the security decisions they make in their own organisations.