Google Cloud Platform - Generative AI Leader

Validates business-level knowledge of generative AI and Google Cloud's gen AI portfolio across four assessed areas: fundamentals of gen AI (AI/ML basics, foundation models, the ML lifecycle, the gen AI landscape, and Google's AI-first approach), Google Cloud's gen AI offerings (including Vertex AI, Gemini, Agent Platform, Agentspace, and the Customer Engagement Suite), techniques to improve gen AI model output (prompting workflows, grounding and retrieval-augmented generation, fine-tuning, sampling parameters, and human-in-the-loop), and business strategies for a successful gen AI solution (responsible AI principles, the Secure AI Framework, model selection criteria, compliance, and governance). The exam tests strategic decision-making and product selection in business scenarios rather than hands-on coding, neural-network design, or hyperparameter tuning. Candidates should expect scenario-style and conceptual multiple-choice questions that assess understanding of where and why to apply specific Google Cloud gen AI products and responsible-AI practices.