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Suryansh Nawal

Member since 2025

Create Your First Gemini Enterprise Application Earned אוג 4, 2026 EDT
Work Meets Play: Journeys Made Easy Earned פבר 27, 2026 EST
Google Skills Arcade Certification Zone January 2026 Earned ינו 31, 2026 EST
Level 3: Scalable Deployments and Delivery Earned נוב 15, 2025 EST
Google Skills Arcade Trivia November 2025 Week 2 Earned נוב 9, 2025 EST
[DEPRECATED] AI Boost Bites: "Eat the Frog" with NotebookLM Earned אוק 25, 2025 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack Earned אוק 25, 2025 EDT
AI Boost Bites: Poke Holes in Your Strategy Earned אוק 25, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Competitive Edge Earned אוק 25, 2025 EDT
AI Boost Bites: Personalization with customized prompts Earned אוק 25, 2025 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive Earned אוק 25, 2025 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace Earned אוק 25, 2025 EDT
AI Boost Bites: Content Generation with Gemini Made Easy Earned אוק 25, 2025 EDT
[DEPRECATED] AI Boost Bites: Customer insights with NotebookLM Earned אוק 25, 2025 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick Earned אוק 25, 2025 EDT
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace Earned אוק 25, 2025 EDT
Skills Boost Arcade Base Camp October 2025 Earned אוק 25, 2025 EDT
[DEPRECATED] Gemini for Application Developers Earned יונ 14, 2025 EDT
Responsible AI for Developers: Privacy & Safety Earned אפר 28, 2025 EDT
Responsible AI for Developers: Interpretability & Transparency Earned אפר 28, 2025 EDT
Responsible AI for Developers: Fairness & Bias Earned אפר 28, 2025 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation Earned אפר 26, 2025 EDT
Introduction to Security in the World of AI Earned אפר 26, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI Earned אפר 26, 2025 EDT
Using BigQuery Machine Learning for Inference Earned אפר 26, 2025 EDT
Build Real World AI Applications with Gemini and Imagen Earned אפר 26, 2025 EDT
[DEPRECATED] Gemini for Data Scientists and Analysts Earned אפר 25, 2025 EDT
Prompt Design in Agent Platform Earned אפר 25, 2025 EDT

Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Agent Ready (GEAR) program.

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It begins with a simple question: Where to next? Inspired by Agoda’s AI-powered travel platform, this challenge shows how AI helps turn preferences into vivid destinations, detailed itineraries, and stunning visuals. You’ll build intelligent apps that understand intent, generate rich content, and deliver real-time recommendations — supported by cloud-native services that keep everything fast, reliable, and seamless. The result: planning that feels effortless, inspiring, and part of the journey itself.

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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.

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From code to cloud, automation drives reliable, repeatable deployment. With over 80% of enterprises adopting DevOps practices, this challenge will guide you through building and managing secure, scalable infrastructure on Google Cloud. You’ll create Artifact Registries for Go, Python, Maven, and more—managing dependencies securely—and deploy static sites using Nginx, Traefik, and Caddy V2 on Cloud Run. Then you will dive into into Terraform Essentials, where you’ll define cloud resources as code—from VPCs and firewall rules to Compute Engine and Cloud Storage—and safeguard configurations with Secret Manager. Together, these labs give you hands-on experience in automating deployments and strengthening cloud infrastructure from the ground up.

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Hey there! You're invited to game on with Google Skills Arcade Trivia for November Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the November Trivia Week 2 badge!

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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 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 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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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow. Duet AI was renamed to Gemini, our next-generation model.

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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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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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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 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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Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.

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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Google Cloud Agent Platform. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.

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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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