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Course Details
Course Details
What You'll Learn
Topic 1: Introduction to AI for Cyber Security
- The AI Landscape: From Generative AI to AI Agents
- AI Use Cases Across the Cyber Defence Lifecycle
- Hands-On with AI Assistants: ChatGPT, Claude and Copilot
- Detecting Phishing, Scams and Social Engineering with AI
- AI-Powered Threats: Deepfakes, Data Leakage and Responsible AI Use
Topic 2: Applying AI to Security Operations
- AI-Assisted Log Analysis and Anomaly Detection
- Summarising Threat Intelligence and Security Alerts with AI
- AI for Incident Response, Reporting and Playbooks
- Vulnerability Management and Security Policy Drafting with AI
- Building Simple AI Workflows for Day-to-Day Security Tasks
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic computer use and familiarity with the business or creative tasks covered by this course will help you follow the exercises.
Software Requirement
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 (confirm the required account tier with the trainer)
Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.
Hardware Requirement
Bring a Windows or Mac laptop supported by the listed software, with a working keyboard and sufficient storage for course exercises.
Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.
If you need help arranging a suitable device, contact us before the class to confirm availability.
Job Roles
Job Roles
- Cyber Security Professionals
- IT Professionals
- Network Security Professionals
Trainers
Trainers
Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.
Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.
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)
- 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 4/8/2026)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 - 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 2/2/2026)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 - 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 1/14/2026)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 - 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 5/9/2024)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 - 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 3/20/2024)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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