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Mackenzie Kelley

Date d'abonnement : 2026

Ligue d'Argent

1241 points
AI Boost Bites: Streamline Event Planning with AI Earned juin 6, 2026 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack Earned juin 6, 2026 EDT
AI Boost Bites: Tame Your Inbox with AI Earned juin 6, 2026 EDT
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace Earned juin 6, 2026 EDT
AI Boost Bites: Your Personal Feedback Agent Earned juin 6, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation Earned juin 6, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI Earned juin 3, 2026 EDT
Introduction to Generative AI Earned juin 3, 2026 EDT

In this video, you'll learn to use an AI assistant to streamline large-scale event planning. You'll see how to prompt an AI to brainstorm off-site ideas, create fair groups for icebreakers, build a shuttle schedule based on arrival times, and analyze survey feedback for gains and losses.

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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!

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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.

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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.

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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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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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