Configure, support, monitor, report on and test a small-business network — with a generative AI copilot at every step.
AI for IT Networking is a hands-on, 2-day WSQ course that teaches the five core tasks of a network professional — configuring servers and devices, supporting user access, monitoring performance, reporting status and testing reliability — and shows how a generative AI assistant makes each task faster under a strict verify-then-trust discipline. It is aligned to the TSC Network Configuration (ICT-DIT-2009-1.1) and is ideal for IT support, operations and infrastructure staff who want to add practical AI skills to their networking work.
| # | On completion, learners will be able to |
|---|---|
| LO1 | Configure servers and devices using basic network configuration techniques, with AI assistance, per organisational specifications. |
| LO2 | Support user network access per organisational specifications, using AI to plan and validate connectivity. |
| LO3 | Operate network management and monitoring tools effectively, aided by AI, for optimal performance. |
| LO4 | Report network performance and status in alignment with established protocols, using AI to analyse data. |
| LO5 | Perform basic network tests to verify reliability and compliance, using AI to interpret results. |
Each lab has its own folder under labs/ with a step-by-step README.md, an AI prompts.md (+ prompts.pdf), a run.py helper, and shared mock data in labs/data/.
| Topic | K/A | Labs |
|---|---|---|
| 1 · AI-Assisted Server and Network Device Configuration | K1 · A1 | 1 · Map the Network and Draft Device Configuration with AI · 2 · AI-Assisted Cloud, Virtualization and Remote Access Design |
| 2 · AI-Powered User Network Access and Connectivity Support | K2 · A2 | 3 · AI-Assisted LAN, WAN, Wireless and Topology Design · 4 · AI-Assisted Switch, Router and Media Selection |
| 3 · AI-Enhanced Network Monitoring and Performance Management | K3 · A3 | 5 · AI-Enhanced Traffic Baselining with the PCAP Analyzer · 6 · AI-Assisted IPv4 Subnet Planning |
| 4 · AI-Assisted Network Performance Analysis and Reporting | K4 · A4 | 7 · AI-Assisted Log Analysis and Status Reporting with Regex · 8 · AI-Assisted Ports, DNS, DHCP and IPv6 Reporting |
| 5 · AI-Powered Network Testing, Reliability and Compliance Validation | A5 | 9 · AI-Assisted Network Troubleshooting · 10 · Capstone — AI-Reviewed Small Business Network Design |
| Tool | Use | Link |
|---|---|---|
| IP Calculator | Subnet & addressing planning | https://alfredang.github.io/ipcalculator/ |
| PCAP Analyzer | Read a packet capture in the browser | https://alfredang.github.io/pcapanalyzer/ |
| Regex Generator | Build log-parsing patterns from plain English | https://alfredang.github.io/regexgenerator/ |
| Generative AI assistant | Draft, review, analyse & explain (Claude / ChatGPT / Copilot) | — |
.
├── courseware/ Trainer Slides (PPT/PDF), Lesson Plan, Learner Guide (DOCX/PDF)
├── LG-AI-for-IT-Networking.md Learner Guide (Markdown mirror)
├── labs/ 10 AI-assisted hands-on labs
│ ├── data/ Contoso mock data (pcap, log, fault, CSVs)
│ ├── images/ tool screenshots used in the Learner Guide
│ └── lab-01 … lab-10/ one folder per lab (README, prompts.md/pdf, run.py)
└── README.md this landing page
The confidential
assessment/folder (question papers + answer keys) is not in this repository — it is distributed via Google Drive to trainers only.
| Course Title | WSQ - AI for IT Networking |
| Course Code | TGS-2024052076 |
| TSC | Network Configuration (ICT-DIT-2009-1.1) |
| Duration | 2 days · 16 hours (9:30 am – 6:30 pm) |
| Level | Beginner |
| Assessment | Written Assessment (WA-SAQ, 1 h) + Case Study (CS, 1 h), open book |
| Mode | Instructor-led, hands-on |
| Certification | Certificate of Achievement + SkillsFuture Statement of Achievement |
| Provider | Tertiary Infotech Academy Pte Ltd (UEN 201200696W) |
This course is WSQ-funded. SkillsFuture Credit and subsidised rates for eligible Singaporeans and PRs may apply — see the course registration page for the latest funded fees and eligibility.
The slide deck, Lesson Plan and Learner Guide are generated from a single content source:
python3 .claude/skills/courseware-build/build/build_slides.py
python3 .claude/skills/courseware-build/build/build_lesson_plan.py
python3 .claude/skills/courseware-build/build/build_learner_guide.py- Website / Register: https://www.tertiarycourses.com.sg/wsq-ai-for-it-networking.html
- Email: enquiry@tertiaryinfotech.com
- Tel: +65 6100 0613
- LMS / TMS: https://lms-tms.tertiaryinfotech.com
📝 Register for AI for IT Networking →
© 2026 Tertiary Infotech Academy Pte Ltd · UEN 201200696W