Partecipa Accedi

Aryan Gupta

Membro dal giorno 2025

Campionato Bronzo

902 punti
Connecting Cloud Networks with NCC Earned ago 16, 2026 EDT
Arcade Simulator: Network Security Engineer Earned ago 16, 2026 EDT
Privileged Access with IAM Earned ago 13, 2026 EDT
Discover and Protect Sensitive Data Across Your Ecosystem Earned lug 28, 2026 EDT
Build Serverless Applications with Cloud Run Functions Earned lug 22, 2026 EDT
Arcade Adventure: Low-Code Development Earned lug 22, 2026 EDT
App Building with AppSheet Earned lug 20, 2026 EDT
Crea un mesh di dati con Knowledge Catalog Earned lug 20, 2026 EDT
Arcade Simulator: Data Mesh Architect Earned lug 20, 2026 EDT
Build a Data Warehouse with BigQuery Earned lug 19, 2026 EDT
Ottimizza i costi per Google Kubernetes Engine Earned lug 19, 2026 EDT
Safe Spaces Earned lug 19, 2026 EDT
Orchestrate Multi-agent Workflows with Gemini Enterprise Earned lug 17, 2026 EDT
Deploy Multi-Agent Architectures Earned lug 17, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK) Earned lug 17, 2026 EDT
Create Your First Gemini Enterprise Application Earned lug 17, 2026 EDT
Mitigate Threats and Vulnerabilities with Security Command Center Earned lug 14, 2026 EDT
Skill Up Summer Earned mag 30, 2026 EDT
Arcade Base Camp May 2026 Earned mag 29, 2026 EDT
Deploy and Manage Applications on Google App Engine Earned mag 26, 2026 EDT
Work Meets Play: Expressive Efficiency Earned mag 26, 2026 EDT
Implement Cloud Security Fundamentals on Google Cloud Earned mag 26, 2026 EDT
Develop Gen AI Apps with Gemini and Streamlit Earned mag 26, 2026 EDT
Crea un sito web su Google Cloud Earned mag 25, 2026 EDT
Works Meet Play: Skills Spawn Earned apr 16, 2026 EDT
Dialogue Design Earned apr 10, 2026 EDT
Work Meets Play: Metrics in Motion Earned mar 20, 2026 EDT
Implement Sensitive Data Protection on Google Cloud Earned mar 11, 2026 EDT

Earn the intermediate Skill Badge by completing the Connecting Cloud Networks with NCC where you will learn how to use the Network Connectivity Center to connect your on-premises, cloud enterprise networks, and hybrid networks, and manage them as spokes through a single, centralized hub on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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Welcome to this month's Arcade Simulator where you will step into the shoes of a Network Security Engineer. In this simulation, you'll first lock down access control across your infrastructure—crafting custom IAM roles, scripting permissions, and setting up Identity-Aware Proxy to secure user authentication without traditional VPNs. Then, you'll take control of hybrid enterprise topology, using Network Connectivity Center to link multi-cloud networks, VPCs, and site-to-site HA-VPNs. Complete with two realistic challenge labs, this simulation equips you to eliminate access blind spots, secure cross-cloud traffic, and build a fortress-grade network on Google Cloud.

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Complete the intermediate Privileged Access with IAM skill badge to demonstrate skills in the following: custom roles using Identity and Access Management (IAM), the principle of least privilege, Just-in-Time (JIT) temporary elevated access, and security for web applications using Identity-Aware Proxy (IAP).

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Complete the intermediate Discover and Protect Sensitive Data Across Your Ecosystem skill badge to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention (DLP) API) to discover, inspect, redact, and de-identify sensitive data across your Google Cloud ecosystem including Cloud Storage files, BigQuery data, and Gen AI model responses.

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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.

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Who says you need a mountain of code to build great software? This adv is your fast lane to rapid app development and automation. First, you'll jump into Google AppSheet to build and launch fully functional apps entirely code-free. Then, you'll master the backend with Cloud Run Functions, deploying event-driven code via the console and command line. Packed with two hands-on challenge labs, this quest is your ticket to building slick apps and scaling them effortlessly on Google Cloud.

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Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.

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Completa il corso introduttivo con badge delle competenze Crea un mesh di dati con Knowledge Catalog per dimostrare le tue competenze nei seguenti ambiti: creare un mesh di dati con Knowledge Catalog per facilitare governance, discovery e sicurezza dei dati su Google Cloud. Ti eserciterai e metterai alla prova le tue competenze nel tagging degli asset, nell'assegnazione di ruoli IAM e nella valutazione della qualità dei dati in Knowledge Catalog.

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Welcome to this month's Arcade Simulator where you will be a Data Mesh Architect. In this simulation, you'll first tackle BigQuery to build date-partitioned tables, solve complex join pitfalls, and master nested data structures. Then, you'll shift to decentralized governance using Dataplex Knowledge Catalog to organize assets, assign metadata, and enforce strict cloud security. Complete with two realistic challenge labs, this simulation equips you to break down data silos, scale your infrastructure, and run a secure, seamless data mesh.

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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

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Completa il badge delle competenze di livello intermedio Ottimizza i costi per Google Kubernetes Engine per dimostrare le tue competenze nei seguenti ambiti: creazione e gestione di cluster multi-tenant, monitoraggio dell'utilizzo delle risorse per spazio dei nomi, configurazione della scalabilità automatica di cluster e pod per l'efficienza, impostazione del bilanciamento del carico per la distribuzione ottimale delle risorse e implementazione di probe di attività e idoneità per garantire l'integrità e la convenienza economica dell'applicazione.

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Building a true "safe space" in the cloud means protecting your applications from external threats while keeping your internal infrastructure stable and efficient. This challenege starts by turning Security Command Center into your ultimate defensive shield—learning to spot risks, investigate threats, and secure your perimeter. From there, you'll bring that same safe-space philosophy to Google Kubernetes Engine (GKE) by isolating workloads safely with multi-tenant namespaces and protecting your budget through smart autoscaling ensuring your cloud environments remain secure and perfectly optimized.

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Complete the introductory Orchestrate Multi-Agent Workflows with Gemini Enterprise skill badge to demonstrate skills in the following: using agentic assistants powered by Gemini Enterprise to unify data across first- and third-party sources, develop multimedia marketing materials, and automate business actions across systems. Skill badges validate your practical knowledge on specific products through hands-on labs and challenge assessments. Earn a badge by completing a course or jump straight into the challenge lab to get your badge today. Badges prove your proficiency, enhance your professional profile, and ultimately lead to increased career opportunities. Visit your profile to track badges you’ve earned. Explore other content in the Gemini Agent Ready (GEAR) program.

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Complete the advanced Deploy Multi-Agent Architectures skill badge to demonstrate skills in the following: building multi-agent systems with ADK, connecting agents with the Agent-to-Agent (A2A) protocol, integrating external tools using the Model Context Protocol (MCP), and deploying a complete multi-agent solution to Agent Engine. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Complete the intermediate Engineer AI Agents with Agent Development Kit (ADK) skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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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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Complete the intermediate Mitigate Threats and Vulnerabilities with Security Command Center skill badge course to demonstrate skills in the following: preventing and managing environment threats, identifying and mitigating application vulnerabilities, and responding to security anomalies.

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A season to build, experiment, and grow—one skill at a time. You’ll start with the fundamentals of networking, creating the foundation that connects everything together. From there, you’ll step into automation and application development using Cloud Scheduler, App Engine, and machine learning APIs. By the end, you’ll have a more confident, hands-on understanding of how modern applications are built, connected, and run on the cloud.

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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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Earn a Skill Badge by completing the Deploy and Manage Applications on Google App Engine course, where you learn how to use App Engine with Python, Go, and PHP.

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As platforms grow, maintaining speed, reliability, and seamless user experiences becomes critical. Inspired by Bobble AI and its journey to support millions of real-time interactions, this challenge explores how cloud-native systems are designed for efficiency at scale. You’ll work with Docker and Kubernetes to run and orchestrate applications, while also using IAM, Cloud Storage, and Monitoring to manage access, data, and performance. The result: a clearer view of how the right mix of containers, automation, and observability keeps modern applications fast, resilient, and efficient.

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Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.

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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Ottieni il badge delle competenze introduttivo completando il corso con badge delle competenze Crea un sito web su Google Cloud. Questo corso si basa sulla serie Get Cooking in Cloud e tratta i seguenti argomenti:Deployment di un sito web su Cloud RunHosting di un'app web su Compute EngineCreazione, deployment e scalabilità del tuo sito web su Google Kubernetes EngineMigrazione da un'applicazione monolitica a un'architettura di microservizi utilizzando Cloud Build

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Online games can get unpredictable. One update drops, a new event goes live—and suddenly, thousands of players are logging in at the same time. That’s where the backend really gets tested. Companies like Com2uS rely on cloud infrastructure to handle exactly this kind of pressure without things falling apart. Here, you’ll work through the same building blocks—setting up networks, handling secure connections, and deploying apps with Docker and Kubernetes. You’ll add authentication, keep an eye on things with logging, and move data when needed. It’s the kind of work that keeps everything running smoothly while players just focus on the game.

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78%—or nearly 8 in 10—business leaders say Google Cloud helps them stay ahead in the age of AI. A big part of that comes down to how teams build and connect intelligent systems. Here, you’ll build and manage conversational agents, and use speech-to-text and translation APIs to handle different types of input. You’ll also move from monolithic apps to microservices on GKE, connect workflows using webhooks, and use observability tools to keep track of what’s happening. IAM comes in as well to manage access where needed. It’s a practical look at how these pieces are used together in real setups.

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Great data experiences don’t happen by accident — they’re modeled, optimized, and scaled with intent. In this challenge, you’ll build a strong foundation with Looker by creating modeled queries, defining measures and dimensions, modularizing LookML with extends, and refining logic using functions and operators. You’ll filter Explores, merge results, and sort insights to uncover what truly matters. You’ll also enhance performance with caching and explore distributed processing with Dataproc. These are the same capabilities that Zoomcar used on Google Cloud to modernize its data stack — and now, you get to build them too!

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Complete the Implement Sensitive Data Protection on Google Cloud Skill Badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.

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