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Vanshika Agrawal

Date d'abonnement : 2023

Ligue de bronze

7470 points
Google Cloud Arcade Facilitator Program 2024 Earned sept. 26, 2024 EDT
Gemini in Gmail Earned fév. 9, 2024 EST
Google Workspace with Gemini: Foundations of Your AI Workflow Earned fév. 9, 2024 EST
Introduction to Generative AI Earned fév. 4, 2024 EST
Build a Certification Study Guide: PCNE Exam Prep Earned fév. 1, 2024 EST
[DEPRECATED]Introduction to Responsible AI Earned fév. 1, 2024 EST
Introduction to Large Language Models Earned jan. 25, 2024 EST

Now that you have found your seat as a Google Cloud Arcade Facilitator, it's time to claim your badge!

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This course covers how to use Gemini in Gmail to optimize your email management. Learn to summarize lengthy threads, retrieve information using natural language, draft professional responses, and organize communication strategies directly inside your inbox. Explore other content in the Gemini Agent Ready (GEAR) program.

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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. Here, you will learn about the key features of Gemini and how they can be used to improve productivity and efficiency. Continue building your skills in the full Google Workspace with Gemini learning path, and 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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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Network Engineer certification exam. You'll review Gemini Notebook features, add sources to your notebook, and learn how to personalize your Gemini Notebook experience to study for the exam.

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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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