Course Details
Course Details
What You'll Learn
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
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: 18-65 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
Job Roles
Job Roles
- Cyber Security Professionals
- IT Professionals
- Network Security Professionals
Trainers
Trainers
Security is not an afterthought in the systems Dr. Alfred Ang builds; it is designed in from the start. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as Chief Technology Officer of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, delivering solutions end to end across front ends, back ends, databases, cloud deployment and native mobile apps. Running the ai-mms course-registration platform for the Singapore, Malaysia and Ghana sites means handling admin authentication, role-based access, payment integrations and security hardening in production. Dr. Ang built a training environment platform that serves browser-based Docker labs, including Kali Linux and Ubuntu, with role-based access, OAuth and on-demand containers, and an IT service desk demo with a credential-leak guard and a strict Content Security Policy. Several single-page projects ship with hardened, hash-based CSP rules, and a developer portal handles mutual TLS and OAuth when calling government APIs. Guardrails for AI receive equal attention: an HR portal on n8n includes an OpenAI chatbot protected by input and output guards, and Dr. Ang's Claude Code skills include a secret scanner that stops API keys and passwords from being pushed. A SCORM e-learning module on security awareness, with narrated video and knowledge checks, rounds out the picture. More than 300 public repositories on GitHub document these practical approaches to securing applications and AI systems. Each project treats security as an engineering habit rather than a final checklist.
AI for Cyber Security uses that builder's view of security to make AI-driven defence concrete. Dr. Ang opens with AI-assisted analysis of security risks, threats and control gaps, showing learners how to use AI to summarise threat intelligence, map assets and risks, and compare existing controls against a recognised framework. The second topic covers designing AI-powered cybersecurity programmes: where AI adds value in detection, alert triage and response, and what people, process and data foundations must exist first. Learners then develop AI-driven security architecture and action plans, sketching how detection tools, logging, identity controls and response playbooks fit together, and prioritising improvements by risk and effort. The final topic addresses monitoring, evaluating and governing AI security solutions, including false positives, model drift, prompt injection, data leakage and the governance needed when AI itself becomes part of the attack surface. Dr. Ang illustrates each concept with safeguards drawn from running live systems, such as blocked secrets, hardened headers and guarded chatbots, so learners can see controls that actually work. Sessions combine short explanations, live demonstrations and practical exercises in which learners analyse a scenario and produce a risk assessment and action plan for an organisation like their own. Participants leave with a structured approach to adopting AI in security operations and a realistic view of its limits. Learners also consider how attackers are using AI, so defences can anticipate new techniques. To see the security-hardened projects behind these lessons, visit https://github.com/alfredang
Review
Customer Reviews (5)
- Knowledgeable trainer Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 11/03/2026)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 - Practical and relevant Review by Course Participant/Trainee
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Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 15/08/2025)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 - Very satisfied Review by Course Participant/Trainee
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The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 04/11/2024)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 - Very satisfied Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 13/07/2024)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 - Good course materials Review by Course Participant/Trainee
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Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 11/04/2024)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
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