Varun Bhatia
Member since 2025
Gold League
2827 points
Introduction to Large Language Models
Earned Apr 4, 2026 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned Nov 20, 2025 EST
Introduction to Security in the World of AI
Earned Nov 12, 2025 EST
AI Boost Bites: Personalization with customized prompts
Earned Nov 10, 2025 EST
AI Boost Bites: AI Magic in a Sheets Cell
Earned Nov 7, 2025 EST
AI Boost Bites: Talk to Your Data in Sheets
Earned Nov 6, 2025 EST
AI Boost Bites: Tame Your Inbox with AI
Earned Nov 6, 2025 EST
[DEPRECATED] Google Cloud: Prompt Engineering Guide
Earned Nov 6, 2025 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Nov 5, 2025 EST
Gen AI: Unlock Foundational Concepts
Earned Nov 5, 2025 EST
[DEPRECATED]Introduction to Responsible AI
Earned Nov 2, 2025 EDT
Introduction to Generative AI
Earned Nov 2, 2025 EDT
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.
Learn more
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.
Learn more
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.
Learn more
This video covers how to personalize your Gemini results in Google
Workspace. Learn to incorporate documents and research papers directly
into your prompts using the "@" symbol to get more targeted and relevant
AI output tailored to your needs.
Learn more
In this video, you'll learn to use the =AI() function in Google Sheets to automate your work. You'll see how to generate text like slogans, summarize paragraphs of customer feedback, and categorize data by classifying inquiries and analyzing sentiment.
Learn more
In this video, you'll learn to use the "Ask Gemini" feature in Google Sheets to manage your data with natural language. You'll see how to ask Gemini to create dropdowns, highlight sales data, create a pivot table, filter by month, and sort by revenue.
Learn more
This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
Learn more
Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
Learn more
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.
Learn more
Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
Learn more
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.
Learn more
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.
Learn more
