GCP · objective · 17% of the exam
Innovating with Google Cloud artificial intelligence — Cloud Digital Leader
The official GCP documentation our Innovating with Google Cloud artificial intelligence practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Google Cloud — AI Infrastructure | Google Cloud
Speech-to-Text Speech recognition and transcription across 125 languages. Text-to-Speech Speech synthesis in 220+ voices and 40+ languages. Translation AI Language detection, translation, and glossary support.
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Google Cloud — AI and Machine Learning Products and Services | Google Cloud
Document AI is a document processing and understanding platform that takes unstructured data from documents and transforms it into structured data (specific fields, suitable for
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Google Cloud — Vision AI: Image and visual AI tools | Google Cloud
Cloud Vision API is a readily available API (REST and RPC) that allows developers to easily integrate common vision detection features within applications, including image
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Google Cloud — AI Commerce Search | Google Cloud
The Merchandising console empowers your business users to react quickly to market trends and customer behavior and lets you instantly deploy and test new strategies
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Google Cloud — AI and Machine Learning Solutions | Google Cloud
Kraft Heinz uses BigQuery, Vertex AI (now Agent Platform), Gemini, Imagen, and Veo to supercharge innovation and accelerate new product content development time from 8
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Google Cloud — Google AI Studio vs. Gemini Enterprise Agent Platform vs. Gemini Enterprise app | Google Cloud
Gemini in Security Operations and Gemini in Threat Intelligence are now generally available, while Gemini in Security Command Center is currently in preview.
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Google Cloud — https://console.cloud.google.com/agent-platform/model-garden
Google models 80 Partner models 46 Self-deploy partner models 12