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yata kantapetch

Учасник із 2025

Срібна ліга

Кількість балів: 1009
Enhance Gemini Model Capabilities Earned квіт. 9, 2026 EDT
Prompt Design in Agent Platform Earned квіт. 6, 2026 EDT
Create ML Models with BigQuery ML Earned квіт. 5, 2026 EDT
Automate Data Capture at Scale with Document AI Earned квіт. 4, 2026 EDT
Model Armor: Securing AI Deployments Earned квіт. 2, 2026 EDT
Introduction to Security in the World of AI Earned квіт. 2, 2026 EDT
Build Serverless Applications with Cloud Run Functions Earned бер. 23, 2026 EDT
The Basics of Google Cloud Compute Earned бер. 21, 2026 EDT

Complete the intermediate Enhance Gemini Model Capabilities skill badge to demonstrate skills in the following: leveraging advanced features of Gemini models, including code generation and execution, grounding, controlled content generation, and synthetic data creation, to build more powerful and sophisticated AI applications.

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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.

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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.

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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.

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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.

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