Course Overview
- Course Title: AI Governance: Strategy, Policy & Responsible Deployment
- Instructor: School of AI (AI Academy)
- Target Audience:
- Enterprise professionals in product leadership, data science, compliance, legal, risk management, or IT governance
- Executives & decision-makers overseeing AI adoption, ethics, or regulatory compliance
- AI/ML practitioners (developers, engineers, analysts) needing governance & risk management skills
- Auditors, policy makers, and consultants specializing in AI ethics, security, or operational risk
- Students & researchers focused on responsible AI, AI law, or technology policy
- Prerequisites:
- No prior AI governance experience required
- Basic understanding of AI/ML applications in business contexts
- Familiarity with organizational roles (e.g., product, legal, compliance) helpful but not mandatory
- Access to a laptop/desktop with internet connection
Curriculum Highlights
- Key Topics Covered:
- AI governance frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC 42001)
- Risk-tiering & proportional controls for high-risk vs. low-risk AI systems
- Fairness, transparency, & bias mitigation in AI model development
- Privacy-preserving machine learning & GDPR compliance
- Model documentation (e.g., model cards, data sheets, risk logs)
- Continuous monitoring for drift, performance degradation, & security threats
- Human-in-the-loop oversight & escalation workflows
- IBM watsonx.governance for automated compliance & accountability
- Red-teaming & adversarial testing for AI security
- Enterprise AI governance playbooks & responsible deployment roadmaps
- Regulatory reporting for executives, auditors, & regulators
- Key Skills Learned:
- Design & enforce AI governance policies aligned with global regulations
- Classify AI systems by risk tier & apply proportional controls
- Implement fairness, explainability, & transparency tools
- Automate compliance monitoring using watsonx.governance
- Develop model documentation for audit readiness
- Detect & mitigate AI drift, bias, & security vulnerabilities
- Lead enterprise-wide governance adoption & change management
- Create AI risk reporting structures for stakeholder accountability
Course Format
- Duration: 2.5 hours on-demand video + 1 article
- Format: Self-paced online course (lifetime access)
- Resources:
- Downloadable materials (templates, checklists)
- Hands-on labs with IBM watsonx.governance
- Quizzes & exercises for applied learning
- Certificate of completion
- Mobile & TV access