GCP · objective · 25% of the exam
Fundamentals of gen AI
Exam objectives are the official skill domains Generative AI Leader tests. Below are the official GCP docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Google Cloud — Vision AI: Image and visual AI tools | Google Cloud
a family of cutting-edge, multimodal model that is capable of understanding virtually any input, combining different types of information, and generating almost any output
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Google Cloud — Cloud Translation | Google Cloud
Translation Large Language Model (LLM) for conversational text like messages or social media posts. You can use "Adaptive" mode to fine-tune translations based on your
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Google Cloud — Gemini Enterprise Agent Platform (formerly Vertex AI) | Google Cloud
Our Model Evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.
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Google Cloud — Physical AI | Google Cloud
Genie 3 or NVIDIA Cosmos —‘world models’—to give Physical Agents an expansive digital sandbox to try, fail and improve. Input text, image, video, and movement
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Google Cloud — Google AI Studio vs. Gemini Enterprise Agent Platform vs. Gemini Enterprise app | Google Cloud
Google AI Studio is the fast path for developers, students, and researchers who want to try Gemini models and get started building