Visual Design and Gemini Ecosystem
Technical navigation in the Vertex AI console. Exploring practical differences between models (Gemini Pro vs. Gemini Flash) and learning how to test different versions of prompts to identify the best performance.
2-4 hours 3 Modules
Main Theme: Google AI
Workload: 2 - 4 Hours
Level: Intermediate
Target Audience: Developers, Solution Architects, and Innovation Managers

Technical navigation in the Vertex AI console. Exploring practical differences between models (Gemini Pro vs. Gemini Flash) and learning how to test different versions of prompts to identify the best performance.
Mastery of AI "engine" settings: controlling Temperature (creativity), Top-P, and Top-K. The student learns to set up safety filters and response limits to ensure that the AI does not deviate from the corporate script.
The challenge consists of setting up a testing environment where the input data remains private (does not train the public model), transforming a business need into an exportable prototype for production.