Master Google Cloud fundamentals including digital transformation, data analytics, AI/ML, infrastructure modernization, security, and cloud operations. Perfect for business and technology professionals.
Practice with 300 curated questions covering all exam domains. Each question includes detailed explanations.
Interactive flashcards for memorizing Google Cloud services, key terminology, and core concepts across all exam domains.
Simulate the real exam experience with timed practice tests and detailed performance analytics.
Detailed notes covering digital transformation, data analytics, AI/ML, infrastructure, security, and cloud operations with Google Cloud.
Curated collection of Google Cloud documentation, learning paths, and resources for digital transformation and cloud services.
Personalized study schedules and learning roadmaps to help you prepare for Generative AI Leader efficiently.
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90 minutes
~55 questions
70%
GCP-GAIL
Google Cloud
What generative AI is and how it differs from traditional ML, Large language models (LLMs): training, inference, tokens, and context windows, Foundation models and their capabilities (text, image, code, multimodal)
Vertex AI platform: Model Garden, Vertex AI Studio, Gemini API, Gemini model family (Gemini 1.5 Pro, Flash, Nano) and their use cases, Google Workspace AI features: Gemini for Workspace
Prompt design best practices: clarity, context, examples, formatting, System instructions and persona configuration, Temperature, top-P, top-K, and other inference parameters
Identifying gen AI use cases across business functions, Build vs. buy vs. customize decision framework, ROI and value measurement for gen AI initiatives
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