The AIGP certification targets legal counsel, data protection officers, and risk managers tasked with implementing robust governance frameworks for machine learning lifecycles. Candidates must demonstrate proficiency in evaluating algorithmic bias, data lineage, and privacy-preserving techniques such as differential privacy and federated learning. Technical assessment focuses on operationalizing the EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001 standards within generative AI pipelines. Practitioners evaluate prompt engineering security, model transparency requirements, and adversarial robustness testing against common vulnerability taxonomies. Success requires synthesizing technical architecture with legal compliance, ensuring organizational alignment with global AI regulatory mandates and ethical deployment protocols.