AI Auditing Masterclass: Build AI Audit Expertise

About this course

AI Auditing Masterclass - Comprehensive Training for Modern AI AssuranceMaster the skills to audit AI systems confidently with this comprehensive training designed for audit, risk, and assurance professionals. Learn to assess, govern, and manage AI-related risks using a structured 5-phase lifecycle approach: Reconnaissance, Review, Resolution, Reporting, and Refinement.What You'll LearnMaster Complete AI Audit Lifecycle:Planning & Discovery - Identify AI assets, assess risks, define scope, and navigate regulatory requirements (GDPR, EU AI Act, ISO/IEC standards)Data & Model Assessment - Evaluate data quality, governance, and privacy controls; review model development; test for bias, fairness, and explainabilityDeployment & Testing - Validate security controls, execute comprehensive testing, monitor performance, and address AI-specific threatsDocumentation & Reporting - Document findings, develop mitigation plans, and communicate effectively with technical and executive stakeholdersContinuous Monitoring - Oversee ongoing compliance, manage model updates, and address emerging risksCore Competencies:Understand AI technologies (ML, deep learning, NLP, generative AI, LLMs)Apply governance frameworks and ethical considerationsExecute AI-specific testing (adversarial, robustness, fairness)Use specialized audit tools and methodologiesNavigate international standards and regulationsAdvanced Topics:Industry-specific auditing (finance, healthcare, HR, government)Complex systems (autonomous AI, multi-agent environments)Emerging technologies (generative AI, edge computing)Automated audit tools and AI-power

Course objectives

• Understand the governance frameworks and ethical considerations in AI
• Apply specialized audit tools and methodologies
• Navigate international standards and regulations related to AI