Google Cloud · Generative AI Leader
The gen AI landscape and Google's models
Generative AI Leader · Lesson 3 of 14 · 16:46
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In this lesson
Prepare for the Google Cloud Generative AI Leader exam. In this lesson: the five layers of the gen AI landscape (infrastructure, models, platform, agents, applications) and what they mean for a business, what Google Cloud offers at each layer, Google's foundation models (Gemini, Gemma, Imagen, and Veo, with the retirement of Imagen on Agent Platform on June 30, 2026, in favor of the Gemini image models), and how to choose a model: modality, context window, performance, cost, availability and reliability, security, and customization. Includes three original practice questions.
Preview the topics
- Cymbal Retail’s IT team wants managed APIs, data management, and model deployment tools, so its developers can build agents without managing servers. Which layer is that?
- Cymbal Retail’s developers want an open model that they can customize, and run on servers in their own data center, for a specialized task. Which Google model family fits?
- Cymbal Retail wants a model to answer questions about its entire supplier handbook of 800 pages, sent in a single request. Which factor matters most?