AI Cybersecurity Course
This course provides hands-on training in securing AI systems, covering threat detection, model hardening, secure MLOps, and SOC integration for robust AI cybersecurity.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This AI Cybersecurity Course equips you with practical skills to secure AI systems from start to finish. You will learn to spot threats unique to machine learning, strengthen data, models, and pipelines, and create secure AI assistants for the Security Operations Centre. You will develop detection strategies, establish incident response and governance protocols, and apply access controls, monitoring, and CI/CD safeguards to ensure AI systems remain robust, compliant, and prepared for actual attacks.
Elevify advantages
Develop skills
- Secure MLOps pipelines: secure CI/CD, artefacts, and runtime environments for ML systems.
- Harden AI models: implement data validation, defences against adversarial attacks, and access controls.
- Detect AI attacks quickly: identify data poisoning, prompt injection, data exfiltration, and misuse.
- Operate SOC AI securely: apply usage policies, escalation procedures, and human supervision.
- Design SOC AI architecture: incorporate ML elements, data streams, and cloud security measures.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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