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Amisha Kumari

Date d'abonnement : 2025

Ligue de Diamant

5098 points
Work Life Refresh Earned jan. 18, 2026 EST
Implement Sensitive Data Protection on Google Cloud Earned déc. 26, 2025 EST
Responsible AI: Applying AI Principles with Google Cloud Earned juil. 15, 2025 EDT
[DEPRECATED]Introduction to Responsible AI Earned juil. 15, 2025 EDT
Introduction to Large Language Models Earned juil. 15, 2025 EDT
Introduction to Generative AI Earned juil. 14, 2025 EDT
Prompt Design in Agent Platform Earned juil. 14, 2025 EDT

Setting goals is a big part of New Year resolutions—but sustaining a healthy work-life balance is what truly makes them stick. This challenge helps you organize your inbox, manage schedules, collaborate smoothly, and track work efficiently using Google Workspace tools. Start the year with better planning, clearer communication, and workflows that support productivity without burnout.

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Complete the Implement Sensitive Data Protection on Google Cloud Skill Badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.

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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.

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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.

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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. Explore other content in the Gemini Agent Ready (GEAR) program.

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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

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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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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