Cybersecurity Fundamentals & AI Security
Protect networks, identities, data and cloud — and secure the new attack surface of AI and LLMs.
What you'll learn
Learn with the Smart Instructor
This course has its own AI knowledge space. The Smart Instructor understands the syllabus, lessons and trainer materials, answers from them with citations, generates practice and adapts difficulty.
Curriculum
5 sections · 13 lessons · 4.2 hours · 1 assessmentsDescription
Networks and cybersecurity are among the fastest-growing skill areas toward 2030 — and AI adds a new attack surface. This flagship program covers classic security foundations and the emerging discipline of AI security: securing LLM applications, defending against prompt injection and governing AI use across the organisation.
Prerequisites: Basic IT knowledge. Cybersecurity Essentials recommended.
Final project (AI Lab)
Design an AI-aware cybersecurity governance framework for an organisation: asset and AI-system inventory, risk assessment (including LLM threats), policies, technical controls, monitoring and an incident-response playbook for an AI-related incident.
Your trainer
Omar is a senior software engineer who teaches practical Python, cloud, data and security skills.
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- 4.2 hours of content
- Smart Instructor with cited answers
- AI-generated practice & adaptive remediation
- Verifiable certificate of completion