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Course Details
Course Details
What You'll Learn
Topic 1: AI-Assisted Server and Network Device Configuration
Topic 2: AI-Powered User Network Access and Connectivity Support
Topic 3: AI-Enhanced Network Monitoring and Performance Management
Topic 4: AI-Assisted Network Performance Analysis and Reporting
Topic 5: AI-Powered Network Testing, Reliability and Compliance Validation
Assessment
- 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.
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-2024052076.
- 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
Job Roles
- Network Administrator
- IT Support Specialist
- Network Support Technician
- Network Operations Specialist
- Systems Administrator
- IT Infrastructure Specialist
- Cloud Network Specialist
- Network Security Analyst
- IT Service Desk Technician
- Wireless Network Engineer
- Network Maintenance Specialist
- Network Configuration Technician
- Data Center Support Engineer
- Junior IT Engineer
- Technical Support Engineer
- Systems Support Technician
- Field Network Technician
- Network Monitoring Analyst
- Network Implementation Specialist
- IT Systems Engineer
Trainers
Trainers
Networks sit underneath everything Dr. Alfred Ang deploys, from cloud-native AI applications to connected devices. A full-stack AI developer, Agentic AI solution architect and technology leader, he builds and runs production systems on AWS, Kubernetes and DevOps pipelines, with a strong focus on architecture, security, observability and performance. He serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founded Tertiary Courses. His credentials span infrastructure and AI: he is an AWS Certified Solutions Architect and Cloud Practitioner, CompTIA Security+ certified, a Microsoft Certified AI Engineer Associate (AI-102), and certified in ITIL for IT service management. His engineering foundation is deep, with a PhD in Electrical Engineering from NUS, an MSc in Electrical and Electronic Engineering from NTU, and earlier experience in the defence, electronics and semiconductor industries. His GitHub portfolio of more than 300 public repositories includes iotplatform, a self-hosted IoT platform that connects Arduino, ESP32 and Raspberry Pi devices over MQTT and HTTP and controls them in real time, and tertiarytraining, which provisions Docker-based Ubuntu and Kali Linux lab environments on demand with role-based access and idle auto-shutdown. He also built wifispeedapp, a native iOS Wi-Fi and cellular speed test that measures download, upload, ping and jitter, and itsupport, an IT service desk demonstration with a strict Content Security Policy. He also holds a Graduate Diploma in Intelligent Robotics Systems from NUS-ISS, and his work with connected devices keeps him close to the network layer.
In WSQ AI for IT Networking, Dr. Ang shows network and IT support professionals how to bring AI into the daily work of configuring, supporting, monitoring and troubleshooting networks. The course covers AI-assisted server and network device configuration, AI-powered user network access and connectivity support, AI-enhanced network monitoring and performance management, AI-assisted performance analysis and reporting, and AI-powered testing, reliability and compliance validation. Along the way learners strengthen their grasp of local and wide area networks, wireless connectivity, remote access, cloud networking, virtualisation, and IPv4 and IPv6. He uses AI as an expert assistant rather than an autopilot: generating draft configurations that are then checked line by line, explaining unfamiliar output, suggesting likely causes when a connection fails, and summarising monitoring data into reports that managers can act on. His experience with cloud infrastructure and isolated lab environments informs the emphasis on testing changes safely before they reach production, and his security certification shapes the attention he gives to access control and compliance. He also connects measurements such as latency, jitter and throughput to the user experience they describe, so learners can explain network performance in plain terms. Sessions are hands-on and aligned to the WSQ competency standards, and as an ACTA-certified trainer he keeps them practical and well paced. Learners also practise writing prompts that include the right context, such as topology, device type and error messages, so the AI's suggestions are relevant. To see his infrastructure and networking projects, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/
Truman Ng is an IT infrastructure and cloud computing specialist whose work brings AI and automation into network operations. Over more than two decades in networking, cybersecurity and system architecture, he has delivered extensive enterprise projects spanning robotics, AI and full-stack development, and has trained professionals from both the public and private sectors in networking fundamentals, cloud integration and IT automation. His certifications include AWS Certified Solutions Architect, Cisco CCNP, CompTIA Network+ and PMP, reflecting a strong command of routing, switching and cloud-based networking alongside emerging technologies.
In WSQ AI for IT Networking, Truman teaches participants to use AI tools to design, configure, monitor and troubleshoot modern networks. Learners use AI to assist with server and network device configuration, support user access and connectivity, monitor and analyse network performance, and test reliability and compliance. Building on core concepts such as LAN and WAN, wireless, remote access, virtualisation, cloud networking and IPv4 and IPv6, his sessions lean heavily on hands-on lab exercises and real-world network management scenarios. Participants gain the confidence to apply AI-assisted workflows to keep enterprise networks secure, reliable and scalable.
Alec Tan is an IT trainer and systems engineer whose career spans IT technical support, system integration and IT training. He holds CompTIA A+, Network+ and Server+ certifications and is WSQ ACLP-certified. His roles include Network Systems Engineer at McKinn International and freelance IT trainer at Nexus Academy, where he taught Office 365, Big Data, Artificial Intelligence and CompTIA certification programmes, and he has served as an IT trainer for organisations across Singapore and Malaysia. Before moving into full-time technical training he worked in pre-sales, systems engineering and IT retail management, giving him a practical view of both hardware and software systems.
In WSQ - AI for IT Networking, Alec combines this networking background with AI-assisted workflows. Learners use AI to support server and network device configuration, user network access and connectivity support, network monitoring and performance management, performance analysis and reporting, and network testing, reliability and compliance validation. His sessions emphasise network configuration, system security and troubleshooting, with practical implementation at the centre. Known for translating complex networking concepts into clear, step-by-step guidance, he helps participants build a strong foundation in networking technologies and use AI tools confidently to prepare for real-world network administration roles.
Saw Chaik Lee is an ACLP-certified trainer and IT professional with extensive experience in networking, security and systems administration. Having worked with Sun Microsystems and other multinational clients, he has trained IT teams across sectors in cybersecurity, system integration and telecommunications. His structured and practical approach ensures learners gain both certification readiness and applied technical skills, and his grounding in real network and systems environments allows him to connect each concept to the configuration, monitoring and troubleshooting work that IT teams carry out every day.
In AI for IT Networking, Saw Chaik Lee brings this networking and systems background to the use of AI tools across the network lifecycle. Learners use AI to assist with server and network device configuration, then apply it to user network access and connectivity support. The course continues with AI-enhanced network monitoring and performance management, AI-assisted performance analysis and reporting, and AI-powered network testing, reliability and compliance validation. Along the way, participants reinforce core networking concepts such as LANs, WANs, wireless, remote access, cloud networking, virtualisation, and IPv4 and IPv6, leaving able to use AI to design, configure, monitor and troubleshoot modern networks.
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