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Innovating with Google Cloud AI

AI and machine-learning options on Google Cloud, pre-trained APIs and Vertex AI, and responsible AI principles.

Google Cloud offers a spectrum of AI maturity: pre-trained APIs (Vision, Speech-to-Text, Natural Language, Translation) for teams without ML expertise; Vertex AI as the unified platform to build, train, and deploy custom models (including AutoML for low-code training); and foundation/generative models via Vertex AI and Gemini.

Key ML terms: training (learning from data), inference/prediction, features, and the importance of quality data. The right choice depends on how much customization and ML skill you have.

Which option lets a team add image recognition without building a model from scratch?

What is Vertex AI?