This fast-paced course explores AI governance principles, security considerations for AI usage, and concludes with a session on ISO/IEC 38507 AI governance standards. Participants will gain knowledge of foundational AI concepts, risk management practices, hands-on AI use cases, and structured governance frameworks to responsibly implement AI within organizations.

By the end of this course, participants will be able to:

• Understand AI governance principles, ethical foundations, and associated risks.
• Align AI projects with organizational goals responsibly and securely.
• Identify and mitigate major AI security risks.
• Apply secure and responsible practices when interacting with AI tools such as ChatGPT, Gemini, and Claude.ai.
• Understand and apply ISO/IEC 38507 guidance for AI governance, accountability, and compliance oversight.
• Develop foundational AI governance policies and organizational frameworks.

• Introduction to AI Governance and Generative AI
  - Key Principles (Transparency, Accountability, Ethics)
  - Roadmap to AI Governance
• AI Technologies and Business Applications 
  - Use Cases and Risk Awareness
  - Stakeholder Engagement 
• AI Governance Frameworks
  - Overview of NIST AI RMF and ISO AI Standards
  - AI Risk Control Planning
• Group Hands-on Activity
  - Define AI business use case and governance roadmap
  - Risk identification and stakeholder analysis

• Secure AI Fundamentals 
  - Basics of AI Models (ChatGPT, Gemini, Claude.ai)
  - Security and Privacy Considerations 
• Identifying and Mitigating AI Security Risks 
  - Top Threats (Data leakage, Unauthorized Access, Adversarial Attacks)
  - Best Secure AI Practices  
• ISO/IEC 38507: Governance of AI 
  - Governance Implications and Accountability Principles 
• Building Governance Oversight 
  - Draft Governance Policies
  - Ethical and Compliance Considerations
  - Closing Q&A and Best Practices