This 5-day course provides a comprehensive and practical introduction to how organizations can secure, govern, and implement artificial intelligence in a safe and responsible way. You will learn how AI can evolve from a potential risk into a strategic enabler through effective governance, risk management, and security architecture.
The course combines established frameworks, real-world threat scenarios, and hands-on exercises to equip you with the skills needed to build, protect, and monitor AI systems in modern enterprise environments.
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Key takeaways |
After completing the course, you will be able to:
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Prerequisites |
To benefit from this course, participants are recommended to have:
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Target audience |
This course is designed for:
Module 1: What is AI, Really?
Introduction to AI, machine learning, deep learning, and large language models, including capabilities and limitations of modern AI systems.
Module 2: AI Business Applications Across Sectors
Overview of how AI is used across industries, including decision support, automation, and emerging trends such as autonomous agents.
Module 3: Architecture of AI Systems
Understanding data pipelines, model training vs inference, APIs, and deployment models across cloud and edge environments.
Module 4: Ethical, Legal & Regulatory Landscape
Key concepts in AI ethics, bias, explainability, and regulatory frameworks such as EU AI Act, NIST, and ISO standards.
Module 5: AI Threat Landscape
Common threats such as prompt injection, adversarial inputs, model poisoning, hallucinations, and misuse scenarios.
Module 6: Supply Chain and Infrastructure Risks
Risks related to training environments, third-party components, APIs, and model integrity.
Module 7: Securing GenAI Systems
Security best practices using frameworks like OWASP Top 10 for LLMs and MITRE ATLAS, including red teaming and testing.
Module 8: Advanced Threat Scenarios
Deep dive into complex attack scenarios such as deepfakes, AI-driven attacks, and cloud-based exploitation.
Module 9: Secure AI-by-Design Principles
Designing secure AI systems with privacy, encryption, and threat modeling integrated from the start.
Module 10: AI Risk Management Frameworks
Applying frameworks such as NIST AI RMF and ISO/IEC standards to manage AI risks effectively.
Module 11: Identity, Access and Control
Managing authentication, authorization, and Zero Trust principles for AI systems and APIs.
Module 12: Cloud-Native AI Security
Security considerations for AI in cloud environments such as Azure, AWS, and Google Cloud.
Module 13: AI Governance in Organizations
Establishing governance structures, roles, policies, and accountability for AI initiatives.
Module 14: Auditing and Testing AI
Methods for auditing AI systems, including bias detection, validation, and third-party assessments.
Module 15: AI-Centric Incident Response
Detecting, responding to, and recovering from AI-related incidents and misuse.
Module 16: Futureproofing and Resilience
Preparing for evolving threats and building resilient AI systems and organizations.
Module 17: Practical Exercises and Scenarios
Hands-on exercises including attack simulations and control design.
Module 18: Governance Reviews and Metrics
How to evaluate AI systems through structured reviews, metrics, and governance checkpoints.
Module 19: AI Policy Development
Designing and implementing organizational AI policies and guidelines.
Module 20: Building an AI Security Program
Developing a complete, end-to-end AI security program and roadmap.
This course prepares you for the Certified AI Cybersecurity Officer (C|AICSO) certification.
The certification exam is conducted online through Mile2’s Learning Management System and can be accessed via your Mile2 account after completing the course.
The exam consists of:
Upon successful completion, you will receive the Certified AI Cybersecurity Officer (C|AICSO) certification.
The certification is valid for 3 years. To maintain your certification, you must:
Pass the latest version of the exam before expiration
Earn and submit 20 Continuing Education Units (CEUs) per year
FAQ – Certified AI Cybersecurity Officer (C|AICSO)
Hva koster kurset?
Prisen er 49 500 NOK for 5 dager. Kurset inkluderer kursmateriell, praktiske øvelser og sertifiseringseksamen.
Hvor lenge varer kurset?
Kurset går over 5 intensive dager og gjennomføres som live virtuelt kurs eller klasseromskurs.
Hvordan gjennomføres kurset?
Kurset kombinerer teori, praktiske scenarioer og strategiske øvelser. Du jobber med reelle problemstillinger innen AI-sikkerhet, governance og risikostyring for å oppnå operativ kompetanse.
Hvem passer kurset for?
Kurset er utviklet for fagpersoner som jobber med sikkerhet, risiko og styring av IT og AI:
Hva lærer jeg i løpet av kurset?
Du lærer hvordan AI-systemer kan sikres, styres og overvåkes i en virksomhet. Etter kurset vil du kunne:
Er kurset praktisk rettet?
Ja. Kurset inkluderer scenario-baserte øvelser, risikovurderinger og strategiske workshops som gir praktisk erfaring med AI-sikkerhet i organisasjoner.
Får jeg sertifisering etter kurset?
Ja. Kurset forbereder deg til Certified AI Cybersecurity Officer-sertifisering, som gjennomføres online etter kurset.
Hvilke forkunnskaper anbefales?
Det anbefales erfaring med informasjonssikkerhet, risikostyring eller IT-ledelse. Grunnleggende forståelse for governance og sikkerhetsprinsipper er en fordel.
Hva gjør dette kurset unikt?
Kurset kombinerer AI, cybersikkerhet og governance i én helhetlig opplæring. Du lærer ikke bare hvordan AI kan sikres, men hvordan det kan styres strategisk og brukes som en trygg og verdiskapende teknologi.
AI, Governance & Risk
Mile2 Cybersecurity Career Path
Cybersecurity & Architecture
AI & Cloud Security
