Prasad Nimmalapudi
Member since 2024
Diamond League
15040 points
[DEPRECATED] AI Boost Bites: Project Notebooks
Earned ספט 7, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Market Research
Earned ספט 7, 2025 EDT
[Deprecated]AI Boost Bites: NotebookLM Video Overviews
Earned ספט 7, 2025 EDT
[DEPRECATED] AI Boost Bites: Discover Sources in NotebookLM
Earned ספט 7, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM Mind Maps
Earned ספט 7, 2025 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM
Earned ספט 7, 2025 EDT
AI Boost Bites: Email Content Creation
Earned ספט 7, 2025 EDT
AI Boost Bites: Create Docs in Seconds
Earned ספט 7, 2025 EDT
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace
Earned ספט 5, 2025 EDT
AI Boost Bites: Tame Your Inbox with AI
Earned ספט 5, 2025 EDT
AI Boost Bites: Gemini Slide Summaries
Earned ספט 5, 2025 EDT
[DEPRECATED] AI Boost Bites: Customer insights with NotebookLM
Earned ספט 5, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned ספט 5, 2025 EDT
AI Boost Bites: No-Code Sheets & Scripts
Earned ספט 5, 2025 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned ספט 5, 2025 EDT
AI Boost Bites: Exec Summaries with Gemini Gems
Earned ספט 5, 2025 EDT
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned ספט 4, 2025 EDT
[DEPRECATED] AI Boost Bites: "Eat the Frog" with NotebookLM
Earned ספט 4, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned ספט 4, 2025 EDT
AI Boost Bites: Poke Holes in Your Strategy
Earned ספט 4, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Competitive Edge
Earned ספט 4, 2025 EDT
AI Boost Bites: Personalization with customized prompts
Earned ספט 4, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned ספט 4, 2025 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned ספט 4, 2025 EDT
AI Boost Bites: Content Generation with Gemini Made Easy
Earned ספט 4, 2025 EDT
Model Armor: Securing AI Deployments
Earned אוג 29, 2025 EDT
Responsible AI for Developers: Privacy & Safety
Earned אוג 28, 2025 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned אוג 26, 2025 EDT
Responsible AI for Developers: Fairness & Bias
Earned אוג 26, 2025 EDT
Introduction to Security in the World of AI
Earned אוג 25, 2025 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned אוג 25, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned אוג 24, 2025 EDT
Introduction to Vertex Forecasting and Time Series in Practice
Earned אוג 24, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned אוג 21, 2025 EDT
Prompt Design in Agent Platform
Earned אוג 21, 2025 EDT
Introduction to Generative AI - בעברית
Earned אוג 21, 2025 EDT
Introduction to Responsible AI - בעברית
Earned אוג 19, 2025 EDT
Introduction to Large Language Models - בעברית
Earned אוג 19, 2025 EDT
Gen AI Agents: Transform Your Organization
Earned אוג 18, 2025 EDT
Gen AI Apps: Transform Your Work
Earned אוג 18, 2025 EDT
Gen AI: Navigate the Landscape
Earned אוג 18, 2025 EDT
Gen AI: Unlock Foundational Concepts
Earned אוג 17, 2025 EDT
Gen AI: Beyond the Chatbot
Earned אוג 16, 2025 EDT
Build AI Agents with Agent Platform and Flutter
Earned אוג 15, 2025 EDT
This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.
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This video covers how to use NotebookLM for common marketing tasks like
analyzing customer feedback, conducting market research, and generating
content ideas.
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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.
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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.
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This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
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This video covers how to use Gemini in Gmail to draft new emails,
refine their tone, respond with context from Drive files, and use smart
reply suggestions.
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This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.
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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 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 use Gemini in Slides to automatically generate
meeting recaps and draft follow-up emails, which can streamline your
post-meeting workflow and save you time.
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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
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This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.
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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 video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.
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This video covers how to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.
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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.
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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 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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This video will cover how to use NotebookLM to gather and analyze
publicly available information, combine it with internal documents, and
extract key competitive insights.
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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.
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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
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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 will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.
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This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI apps. Explore other content in the Gemini Agent Ready (GEAR) program.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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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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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.
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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 course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.
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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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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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זהו קורס מבוא ממוקד שמטרתו להסביר מהי בינה מלאכותית גנרטיבית, איך משתמשים בה ובמה היא שונה משיטות מסורתיות של למידת מכונה. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
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זהו קורס מבוא ממוקד שמטרתו להסביר מהי אתיקה של בינה מלאכותית, למה היא חשובה ואיך Google נוהגת לפי כללי האתיקה של הבינה המלאכותית במוצרים שלה. מוצגים בו גם 7 עקרונות ה-AI של Google.
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זהו קורס מבוא ממוקד שבוחן מהם מודלים גדולים של שפה (LLM), איך משתמשים בהם בתרחישים שונים לדוגמה ואיך אפשר לשפר את הביצועים שלהם באמצעות כוונון של הנחיות. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools. Explore other content in the Gemini Agent Ready (GEAR) program.
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and Gemini Notebook. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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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.
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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 course provides a foundational understanding of Gemini models and their application in generative AI solutions. You will explore the tools available on the Gemini Enterprise Agent Platform to build search and reasoning capabilities for your apps.
You will also work with Flutter, Google's UI framework used to build applications for multiple platforms from a single codebase.
Explore other content in the Gemini Agent Ready (GEAR) program.
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