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The Google : Generative AI Leader exam is designed for professionals who lead AI initiatives, build strategies around generative AI, and understand Google Cloud’s AI/ML services. This exam validates your ability to apply AI responsibly, evaluate generative model performance, and guide teams in deploying AI-powered solutions effectively.
This exam is organized into topical modules. Below is a suggested mapping (for study and practice), following the same modular style used in the AZ-104 page.
Focuses on defining AI vision, identifying use cases, ROI assessment, stakeholder mapping, and drafting deployment roadmaps for generative AI solutions.
Understanding model architectures (transformers, diffusion, sequence models), pretraining vs fine-tuning, embeddings, vector search, and retrieval-augmented generation (RAG).
Risk assessment, fairness, bias mitigation, explainability, data lineage, auditability, and regulatory/compliance considerations specific to generative models.
Prompt engineering, evaluation metrics (ROUGE/BLEU, human evaluation, factuality checks), hallucination mitigation, safety filters, and guardrails.
CI/CD for models, monitoring, observability, scaling, cost control, model versioning, access controls, and secrets/key management on Google Cloud (Vertex AI, IAM, VPC, KMS).
Connecting generative models to data systems, search, pipelines, knowledge bases, and building user experiences (APIs, chatbots, content generation workflows).
This certification validates your expertise in guiding generative AI strategy, solutions, and responsible AI practices using Google Cloud services.
AI leaders, solution architects, consultants, and professionals driving AI initiatives in organizations.
The exam typically has 40–60 questions, 120 minutes duration, and requires 700/1000 to pass.
The exam covers AI strategy, Google Cloud generative AI tools, responsible AI, governance, security, and real-world AI solution implementation.
The cost of the exam is usually around USD $200, but may vary depending on your region.
The certification is valid for 2 years from the date of passing.
There are no mandatory prerequisites, but prior experience in AI/ML projects and familiarity with Google Cloud services is highly recommended.
Leverage Google Cloud training, hands-on labs, case studies, whitepapers, and practice exams to prepare effectively.
You can schedule the exam through the Google Cloud Certification portal and choose an online proctored or test center option.
If you don’t pass, you can retake the exam after 14 days. After three failed attempts, a 60-day waiting period applies.
The Google Generative AI Leader Exam is designed for business and technology leaders who want to understand and apply generative AI concepts in real-world scenarios. By earning this certification, you demonstrate your ability to guide organizations in responsibly adopting AI, aligning innovation with strategy, and leveraging Google Cloud’s AI tools to drive business value.
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