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Sukanya Srimanthula
Date d'abonnement : 2026
Ligue de Diamant
3852 points
[DEPRECATED]Introduction to Responsible AI
Earned août 20, 2026 EDT
Introduction to Large Language Models
Earned août 20, 2026 EDT
Introduction to Generative AI
Earned août 20, 2026 EDT
Gen AI: Beyond the Chatbot
Earned août 18, 2026 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned août 16, 2026 EDT
Gemini in Gmail
Earned août 16, 2026 EDT
Google Workspace with Gemini: Foundations of Your AI Workflow
Earned août 16, 2026 EDT
AI Boost Bites: Poke Holes in Your Strategy
Earned août 16, 2026 EDT
AI Boost Bites: AI for the Modern Recruiter
Earned août 14, 2026 EDT
AI Boost Bites: Build Your AI Strategic Partner
Earned août 9, 2026 EDT
AI Boost Bites: Streamline Event Planning with AI
Earned août 5, 2026 EDT
Security Command Center Fundamentals
Earned août 1, 2026 EDT
AI Boost Bites: Your AI Chart Detective
Earned août 1, 2026 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned août 1, 2026 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned août 1, 2026 EDT
Responsible AI for Developers: Fairness & Bias
Earned juil. 31, 2026 EDT
AI Boost Bites: Tame Your Inbox with AI
Earned juil. 31, 2026 EDT
AI Boost Bites: Your Personal Feedback Agent
Earned juil. 31, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned juil. 27, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned juil. 26, 2026 EDT
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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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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This video will cover how to leverage Gemini Gems to create authentic
social media posts in your leader's unique voice. Learn to overcome the
challenge of scaling executive social presence by training a Gem with
writing samples and clear instructions. Discover how to generate engaging
posts quickly, saving time while amplifying thought leadership and
ensuring authenticity.
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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 video covers using AI to identify weaknesses and hidden assumptions in your strategy. You'll learn the "Poke Holes" method, a simple way to pressure-test your plans with AI prompts, uncovering gaps and strengthening your strategic thinking.
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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
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In this video, you'll learn to build a custom Gemini Gem that acts as your personal executive advisor. Master the art of defining instructions and uploading "knowledge" files to create a partner that helps you strategize and lead with confidence.
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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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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.
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In this video, you'll learn to use Gemini as your personal data analyst. Master the art of turning screenshot "spaghetti" charts into clear strategic insights by asking plain-English questions about the patterns you see.
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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
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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 course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
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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 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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