AI Cybersecurity Course

What is this course for?

Risks, governance and protection of artificial intelligence systems.

🚀 Artificial Intelligence Security Fundamentals: Learn the security risk landscape of AI systems.
🚀 Security in the Model Lifecycle: Protect training data and deploy models securely.
🚀 Threats Specific to AI Models: Identify prompt injection, model theft and evasion attacks.
🚀 Privacy and Ethics in AI: Manage privacy, algorithmic bias and responsible AI.
🚀 AI Security Governance: Define policies and continuously monitor AI systems in production.

With this course you'll create, optimize, automate or improve the following projects:

🚀 You'll develop AI governance frameworks with risk assessments and algorithmic audits.


Course	AI Cybersecurity Course
Learning path	CyberGuardián
Domain	DIA — Data and Artificial Intelligence Cybersecurity
Level	Advanced
Aimed at	Organizational security specialists and leads
Prerequisites	We recommend completing the CyberUsuario learning path first
Format	Online, self-paced
Language	Spanish (English translation available)
Modules	5
Lessons	15
Estimated reading time	~10 minutes (not counting practice or assessment)
Material	Text lessons and a downloadable course diagram (Excalidraw)
Content access	Free: open, open-source content (MIT license)
Assessment	Online, 60 minutes, at least 80% correct answers, 2 attempts. Requires a subscription
Diploma	Yes, when you take the assessment on the DivisionCero platform
Certification	Included in the diploma, verifiable online with a QR code or certification code
Learning path certification	Counts toward the DIA domain certification and CyberGuardián Certified
Last updated	19/09/2026
Course link	cyberacademy.divisioncero.com/dia/ciberseguridad-en-ia

Open, open-source content on CyberAcademy.