Course Information

  • 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.

Skills Framework

TSC Title
Network Security
TSC Code
ICT-DIT-4024-1.1

Funding Validity

Funding for this course is valid from 29 Nov 2024 to 28 Nov 2026. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

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

  • LO1: Identify and assess network threats and vulnerabilities by analyzing ICT configurations.
  • LO2: Evaluate organizational assets and develop risk management plans to address network infrastructure weaknesses effectively.
  • LO3: Design and implement security measures for network components by managing security phases.
  • LO4: Document security incidents and apply incident response configurations to manage risks based on established procedures.

Course Brochure

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.
  • 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 Network Security

Course Code: TGS-2024051414
  • WSQ
  • SFC
  • PSEA
  • SFEC
  • Absentee Payroll
  • MCES
Share

What's This Course About

AI for Network Security equips participants with practical skills to apply artificial intelligence to network monitoring, threat detection, vulnerability assessment, and incident response. Learners will explore how AI can analyze network traffic, system logs, device activity, and security alerts to identify suspicious behaviour, emerging threats, and potential control gaps.

Through hands-on activities, participants will use AI-assisted workflows to assess network risks, detect anomalies, analyze vulnerabilities, and prioritize security incidents. The course covers network segmentation, access control, authentication, encryption, endpoint protection, firewall policies, intrusion detection, and defence-in-depth strategies across different operating environments.

Participants will also learn to use AI to summarize threat intelligence, investigate security incidents, recommend remediation measures, automate repetitive monitoring tasks, and produce security reports. Emphasis is placed on validating AI-generated findings, reducing false positives, protecting confidential information, and maintaining human oversight. By the end of the course, learners will be able to use AI responsibly to strengthen network defences, accelerate threat analysis, and improve 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.

WSQ Funding

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
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 FormSubmit PSEA Form

Course FeeBefore Funding

$1,000.00 (GST-exclusive)
$1,090.00 (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-Assisted Network Threat and Vulnerability Analysis

Topic 2: AI-Powered Network Risk Assessment and Management Planning

Topic 3: Designing and Implementing AI-Enhanced Network Security Measures

Topic 4: AI-Assisted Security Incident Documentation and Response

Assessment

  • Written Exam
  • Practical Exam

Course Info

Register for an Account:

All test candidates must register an account with Certiport. Each person will only ever need one login/username. If you are unsure whether you have previously registered, contact support or a Certiport Solution Provider.

Each Test Candidate double-clicks the applicable desktop icon on the testing computer to begin the exam. The candidate:

  • enters his/her username and logs in
  • chooses the program, suite and individual exam to be taken
  • select whether or not a voucher will be used

Assign Voucher to your Account:

Once you have a voucher, you may assign it to yourself. Doing so secures the voucher from being redeemed fraudulently. Login to your Test Candidate Account, enter your voucher number in the Voucher code field and click on Assign Voucher to Me. Once the voucher is assigned, you will be the only person who can use it. Inform the Proctor at the Testing Center you have assigned the voucher to yourself

Redeem Voucher:

  • To redeem your voucher you must visit a Certiport Authorized Testing Center and provide the number to a Certiport Administrator. Exams must be taken prior to the expiration date. See specific instructions below.
  • Take the exam at your selected testing center:
  • Tell the representative you wish to redeem this voucher # for an exam.
  • Schedule a time and date to take this exam.
  • A proctoring fee maybe required; this will be determined by the Testing Center.
  • At the time of testing, have the Center launch the appropriate exam engine.
  • If you have taken a Certiport exam before, enter your Candidate Login information.
  • If you have not taken an exam before, start here to register
  • The testing center Administrator will either ask one of the following:
  • Did you assign the voucher to you?
  • Did you bring the voucher with you?
  • The testing center Administrator will select the appropriate exams from the drop down box menu, please confirm.
  • The testing center Administrator will enter their username and password.
  • Upon exam completion, voucher is void.

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

  • Nmap
  • Wireshark (with tshark)
  • Python 3 with pandas and scikit-learn
  • A generative AI assistant (Claude, ChatGPT or Copilot — the free tier is sufficient)
  • A spreadsheet (Excel, Numbers or Google Sheets)

Hardware: Windows or Mac laptop with administrator rights to install software

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.

  1. Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
  2. We email you an invoice showing the course fee after funding.
  3. 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.
  4. Click Submit a Claim and search for this course by its course code, TGS-2024051414.
  5. 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).
  6. 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.
  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.

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.

  1. Check that this course shows the PSEA tag on its MySkillsFuture page.
  2. Check your PSEA balance on MOE's Student Finance System with Singpass.
  3. Download and complete the PSEA withdrawal form, then submit it to us.
  4. 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.
  5. 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.

  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

  • IT Security Specialist
  • Network Administrator
  • Cybersecurity Analyst
  • Network Security Engineer
  • Risk Management Consultant
  • Systems Administrator
  • Penetration Tester
  • IT Infrastructure Specialist
  • Security Compliance Officer
  • Incident Response Analyst
  • Information Security Consultant
  • Cybersecurity Auditor
  • SOC (Security Operations Center) Analyst
  • Ethical Hacker
  • Technical Support Engineer
  • IT Project Manager (Cybersecurity)
  • Vulnerability Analyst
  • Wireless Network Engineer
  • Security Operations Specialist
  • Cloud Security Specialist

Trainers

Trainers

Security has a firm place in Dr. Alfred Ang's AI practice. He is CompTIA Security+ certified, an AWS Certified Solutions Architect and Cloud Practitioner, a Microsoft Certified AI Engineer Associate (AI-102) and Data Scientist (DP-100), and ITIL certified, and his work as a full-stack AI developer and Agentic AI solution architect spans system architecture, security, observability and performance optimisation across AWS, Kubernetes and DevOps environments. He is Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd, where cybersecurity is one of the areas in which he designs and delivers training. He holds a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU and a Certificate in AI Ethics and Governance (Senior Professional) from NTU, after earlier work in the defence, electronics and semiconductor industries. His GitHub portfolio includes tertiarytraining, a training environment platform that runs Docker-based WordPress, Ubuntu and Kali Linux labs in the browser with role-based access, OAuth and idle auto-shutdown; itsupport, an IT service desk demo with a credential-leak guard and a strict Content Security Policy; workplacesafety-scorm, an e-learning module built around a narrated security-awareness video; and skills, which includes a secret scanner. He is also an ACTA-certified trainer and DACE-certified curriculum developer. He also holds a B.Sc (Hons) in Physics from NUS, has published more than 20 peer-reviewed papers and co-invented more than 20 US patents, and is a certified PMP.

In WSQ - AI for Network Security, Dr. Ang shows learners how to put AI to work on the everyday tasks of defending a network. The course begins with AI-assisted analysis of network threats and vulnerabilities, using AI to examine traffic, system logs, device activity and security alerts for suspicious behaviour and emerging threats. Learners then carry out AI-powered network risk assessment and management planning, before designing and implementing AI-enhanced security measures such as network segmentation and access controls. The final topic covers AI-assisted security incident documentation and response, from prioritising incidents to writing clear reports. Drawing on his Security+ grounding and his experience running isolated lab environments, he teaches learners to treat AI as an analyst's assistant, not an authority: outputs must be checked against evidence, sensitive log data must be handled carefully, and false positives and missed detections must be expected and managed. He also discusses the risks that AI itself introduces, including prompt injection and data leakage, drawing on his AI governance training. Sessions are hands-on, with realistic scenarios that let learners practise detection, assessment and response. As a WSQ course, it also prepares learners for assessment. He also shows how AI can help draft security policies, playbooks and user awareness messages, while stressing that every recommendation must fit the organisation's own risk appetite and regulatory obligations. To see his security-minded projects, learners can view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Agus Salim is an IT systems engineer and cybersecurity professional with a background in network administration, IT support, systems integration and cloud infrastructure. A WSQ-accredited educator and Microsoft Certified Professional, he has delivered programmes in networking fundamentals, cloud computing and IT infrastructure management, and has worked with organisations such as Citi and Check Point Software Technologies. His credentials include PMP, CompTIA Security+, CEH and AWS Certified Cloud Practitioner.

Agus's expertise lies in networking and security rather than AI specifically, and that strong networking foundation underpins WSQ - AI for Network Security. Having taught core networking technologies, protocols, LAN and WAN configuration, IP addressing and network monitoring, he helps learners understand the traffic and logs that AI tools analyse. He guides participants through AI-assisted network threat and vulnerability analysis, AI-powered risk assessment and management planning, designing and implementing AI-enhanced security measures, and AI-assisted incident documentation and response. His clear explanations and hands-on activities keep the focus on applied skills learners can use at work. Learners leave able to apply AI to network defence with a clear grasp of what it is detecting.

Truman Ng's expertise lies in building secure cloud architectures, deploying network automation and integrating AI-driven security solutions for large-scale organisations. A senior IT and cloud systems professional with over 20 years of experience in networking, cybersecurity and enterprise IT management, he holds PMP, Huawei HCIE, Cisco CCNP and AWS Certified Solutions Architect certifications. He has delivered numerous corporate training programmes in IT infrastructure and security, giving him a clear sense of the challenges security teams face when defending complex, hybrid networks.

In WSQ AI for Network Security, Truman shows participants how AI can analyse network traffic, system logs, device activity and security alerts to surface suspicious behaviour and potential control gaps. Learners use AI-assisted workflows to analyse threats and vulnerabilities, assess network risks and plan their management, design and implement AI-enhanced security measures, and document and respond to incidents. His sessions also address network segmentation, identity management and security automation across hybrid environments. Participants gain practical skills to build and maintain resilient network defences aligned with international security frameworks, using AI to detect and respond to threats faster.

Achim Ludwig Dietzenbach is a CISSP-certified cybersecurity and infrastructure specialist with experience in IT management, network architecture and information security. He has served in leadership and consulting roles across Europe and Asia, helping multinational organisations design secure network infrastructures and implement robust cybersecurity frameworks. He holds multiple global certifications in network security, project management and cloud computing, is an ACLP-certified trainer, and is recognised for an analytical, structured approach to risk mitigation and system hardening. His core strengths lie in network defence, access control and threat management rather than AI development.

In this WSQ course, Achim brings his network defence expertise to applying artificial intelligence to network monitoring, threat detection, vulnerability assessment and incident response. Learners use AI to analyse network threats and vulnerabilities, carry out AI-powered network risk assessment and management planning, design and implement AI-enhanced network security measures, and document and respond to security incidents with AI assistance. His grounding in vulnerability analysis, encryption protocols and security policy design helps learners judge whether AI recommendations are sound in a real network context. Participants gain practical skills to identify, assess and defend against cyber threats while maintaining compliance with industry standards.

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 has led security transformation projects in telecommunications, finance and education, focusing on secure, scalable network environments, and holds industry certifications in network defence, risk management and ethical hacking that complement his field experience.

In WSQ - AI for Network Security, Danny brings this network defence experience to applying artificial intelligence across network monitoring, threat detection, vulnerability assessment and incident response. Learners use AI to analyse network threats and vulnerabilities, assess network risk and plan its management, design and implement AI-enhanced security measures, and document and respond to security incidents. His sessions emphasise security architecture design, vulnerability assessment and defensive network strategy. Participants gain exposure to modern cybersecurity challenges and learn systematic approaches to prevent, detect and respond to threats, using AI to make sense of traffic, logs, device activity and alerts.

Review

Write Your Own Review

You're reviewing: WSQ - AI for Network Security

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