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WSQ - AI for IT Security Professionals

Sessions 4 days
Duration 32 hrs
Level Intermediate
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 Administration
TSC Code: ICT-OUS-3012-1.1

Funding for this course is valid from 27 Oct 2023 to 26 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: Administer security programmes and analyze the impact of system updates.
LO2: Perform system administration and configure network device security features.
LO3: Perform troubleshooting of security software and assist users in defining access rights.
LO4: Coordinate access control rights and investigate unauthorized access incidents.

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 IT Security Professionals

Course Code: TGS-2023039344

WSQ
SFC
PSEA
SFEC
Absentee Payroll
MCES

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AI for IT Security Professionals equips participants with practical skills to apply artificial intelligence across security monitoring, threat detection, vulnerability analysis, and incident response. The course explores how AI can analyze large volumes of security data, identify suspicious behaviour, detect potential threats, and support faster and more informed security decisions.

Participants will learn to use AI-assisted workflows to examine system and network logs, identify indicators of compromise, assess security vulnerabilities, summarize threat intelligence, and recommend remediation actions. The course also covers identity and access security, network protection, data security, security controls, risk prioritization, and automation of repetitive security operations.

Through hands-on scenarios, learners will use AI to investigate incidents, generate security reports, develop response plans, and evaluate the effectiveness of security measures. Emphasis is placed on validating AI-generated findings, reducing false positives, protecting confidential information, and maintaining human oversight. Participants will also examine AI-related risks, including prompt injection, adversarial attacks, data leakage, and AI-generated cyber threats. By the end of the course, learners will be able to use AI responsibly to strengthen organizational security and improve 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 Programme Administration and System Updates

Topic 2: AI for System, Network and Device Security

Topic 3: AI-Assisted Security Troubleshooting and Access Management

Topic 4: AI-Powered Access Monitoring and Unauthorized Access Investigation

Written Exam
Practical Exam

Course Info

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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 Year 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-2023039344.
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 Engineer
Cloud Security Analyst
Systems Administrator
Network Administrator
IT Security Specialist
DevOps Engineer
Solutions Architect
Security Consultant
Cybersecurity Analyst
Infrastructure Architect
IT Manager
Cloud Solutions Architect
Security Compliance Analyst
Security Auditor
Incident Responder

Trainers

Dr. Alfred Ang combines formal security credentials with years of building and hardening the systems he runs, which shapes his approach to AI for IT Security Professionals. He is CompTIA Security+ certified, an AWS Certified Solutions Architect, a Microsoft Certified AI Engineer Associate (AI-102) and an ITIL practitioner, and he holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU. As a full-stack AI developer and Agentic AI solution architect, his work spans system architecture, security, observability and performance optimisation on AWS and Kubernetes, and he leads the technology function as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, having founded Tertiary Courses. Among the 300+ public repositories on his GitHub is 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 is an accessible IT service desk demo with a validated ticket form, a credential-leak guard and a strict Content Security Policy, and workplacesafety-scorm is a SCORM e-learning module built around a narrated security-awareness video with knowledge checks and a scored assessment. His background also includes a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a B.Sc (Hons) in Physics from NUS, more than 20 peer-reviewed papers, more than 20 co-invented US patents and earlier work in the defence, electronics and semiconductor industries.

In this WSQ course, Dr. Ang shows IT and security practitioners how to apply AI across the security tasks they already own. Topic 1 covers AI-assisted security programme administration and system updates, using AI to track patches, summarise advisories and keep policies and documentation current. Topic 2 applies AI to system, network and device security, where learners analyse logs, spot suspicious behaviour, identify indicators of compromise and assess vulnerabilities more quickly. Topic 3 focuses on AI-assisted troubleshooting and access management, from diagnosing faults to reviewing permissions and enforcing least privilege. Topic 4 covers AI-powered access monitoring and the investigation of unauthorised access, with AI helping to correlate events, build timelines and draft incident reports and remediation recommendations. Because he has built a browser-based lab platform with isolated containers, including Kali Linux machines, he can give learners safe spaces to try these techniques without touching production systems. He is equally clear about the risks AI introduces, such as leaking sensitive logs into public tools, trusting confident but wrong answers and prompt injection against AI assistants, and his governance certification informs how he teaches oversight and accountability. As an ACTA-certified trainer and DACE-certified curriculum developer, he aligns each activity to the course outcomes and keeps sessions practical, so participants leave with tested prompts, workflows and checklists they can bring straight back to their security operations. To see his secure-by-design projects and lab platforms, 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 CISSP and Azure Certified Professional who has managed enterprise-level security operations across financial, telecommunications and government sectors, with expertise in cloud security architecture and identity and access management.

In WSQ - AI for IT Security Professionals, Sivanesan provides insight into applying AI to the design and monitoring of secure IT environments. Learners use AI to support security programme administration and system updates, system, network and device security, and security troubleshooting and access management, before applying AI to access monitoring and the investigation of unauthorised access. His sessions cover AI-assisted threat protection, network security and identity governance. By combining real-world cybersecurity practice with AI-driven analysis, he enables learners to detect, investigate and respond to security incidents with confidence while maintaining human oversight of AI-generated findings.

Truman Ng is a cloud infrastructure and cybersecurity architect with over two decades of experience in enterprise network security, DevOps automation and AI-enabled monitoring systems. He has led multiple cybersecurity and cloud deployment projects across Asia, and his expertise lies in integrating secure architectures into hybrid environments to ensure resilience, scalability and compliance in enterprise operations. He holds PMP and Huawei HCIE certifications and is an ACTA-certified trainer who teaches through case studies and practical labs grounded in enterprise operations.

In WSQ AI for IT Security Professionals, Truman shows participants how to apply AI across security monitoring, threat detection, vulnerability analysis and incident response. Learners use AI to support security programme administration and system updates, secure systems, networks and devices, troubleshoot security issues and manage access, and monitor access to investigate unauthorised activity. His sessions focus on identity protection, threat mitigation, risk prioritisation and automated defence mechanisms, as well as the risks AI itself introduces, such as prompt injection and adversarial attacks. Participants leave equipped to manage security operations at scale with AI support.

Agus Salim is an experienced IT solutions and cybersecurity professional who emphasises secure cloud implementation for AI and machine learning systems, integrating security-by-design principles into AWS-based data pipelines and machine learning workflows. He has over a decade of experience in systems integration, software development and IT security across enterprise and consulting environments, including work with Citi and Check Point Software Technologies. His credentials include PMP, CompTIA Security+, CEH and AWS Certified Cloud Practitioner.

In WSQ - AI for IT Security Professionals, Agus combines hands-on security experience with his focus on AI systems that meet industry and compliance standards. He guides learners through AI-assisted security programme administration and system updates, AI for system, network and device security, AI-assisted troubleshooting and access management, and AI-powered access monitoring and investigation of unauthorised access. His practical understanding of secure system design and multi-cloud support helps participants apply AI where it genuinely strengthens defences. Throughout, he stresses risk awareness, governance and compliance, reflecting his balanced expertise in these areas. Learners leave able to use AI to detect threats faster, respond more effectively and keep systems and data secure.

Danny Teo is a cybersecurity and IT infrastructure consultant with experience in systems administration, endpoint protection and enterprise network management. A certified Microsoft trainer, he has delivered professional courses in security operations, cloud administration and IT compliance for organisations across Southeast Asia. He is also a cybersecurity practitioner and digital forensics specialist who has worked extensively with Microsoft Defender, Azure Security Center and SIEM/SOAR platforms, and is recognised for a practical, scenario-based approach to teaching.

In WSQ - AI for IT Security Professionals, Danny equips learners with the skills to protect IT environments from evolving threats using AI. Participants use AI to support security programme administration and system updates, system, network and device security, and troubleshooting and access management, before applying AI-powered access monitoring to investigate unauthorised access. His sessions cover AI-assisted security monitoring, governance, compliance and the automation of security operations, the area where his SIEM/SOAR experience is most directly relevant. By blending concepts with realistic simulations, he ensures participants can investigate incidents, validate AI-generated findings and safeguard enterprise systems.