SANIYA GORULE
Member since 2025
Gold League
3407 points
Store, Process, and Manage Data on Google Cloud - Command Line
Earned Dec 25, 2025 EST
Protect Cloud Traffic with Chrome Enterprise Premium Security
Earned Dec 25, 2025 EST
Create and Manage Cloud Spanner Instances
Earned Oct 29, 2025 EDT
Configure Service Accounts and IAM Roles for Google Cloud
Earned Oct 29, 2025 EDT
Use Machine Learning APIs on Google Cloud
Earned Oct 29, 2025 EDT
Using the Google Cloud Speech API
Earned Oct 29, 2025 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned Oct 29, 2025 EDT
Analyze Sentiment with Natural Language API
Earned Oct 29, 2025 EDT
Implement Multimodal Vector Search with BigQuery
Earned Oct 29, 2025 EDT
Analyze BigQuery Data in Connected Sheets
Earned Oct 29, 2025 EDT
Level 3: Generative AI
Earned Oct 24, 2025 EDT
Prompt Design in Agent Platform
Earned Oct 18, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned Oct 18, 2025 EDT
Analyze Speech and Language with Google APIs
Earned Oct 18, 2025 EDT
Monitoring in Google Cloud
Earned Oct 18, 2025 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned Oct 18, 2025 EDT
Deploy and Manage Applications on Google App Engine
Earned Oct 17, 2025 EDT
Build Serverless Applications with Cloud Run Functions
Earned Oct 17, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned Oct 17, 2025 EDT
Set Up a Google Cloud Network
Earned Oct 17, 2025 EDT
Build a Website on Google Cloud
Earned Oct 16, 2025 EDT
Develop with Apps Script and AppSheet
Earned Oct 16, 2025 EDT
App Building with AppSheet
Earned Oct 16, 2025 EDT
Deploy and Secure Serverless APIs with API Gateway
Earned Oct 16, 2025 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned Oct 16, 2025 EDT
Organize and Govern Data with Knowledge Catalog
Earned Oct 16, 2025 EDT
[Deprecated] Get Started with Looker
Earned Oct 16, 2025 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned Oct 15, 2025 EDT
Implement Cloud Storage and Data Protection Solutions
Earned Oct 15, 2025 EDT
The Basics of Google Cloud Compute
Earned Oct 15, 2025 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned Oct 12, 2025 EDT
Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Earn a skill badge by completing the Protect Cloud Traffic with Chrome Enterprise Premium Security skill badge course, where you learn how to leverage Chrome Enterprise Premium to provide secure access to critical apps and services, improve your security posture with a modern Zero Trust platform, securely provide access to resources using identity and context-aware access control, and support hybrid cloud workloads using Client Connector.
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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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Earn the Introductory skill badge by completing the Configure Service Accounts and IAM Roles for Google Cloud course, where you learn about service accounts, custom roles, and how to set permissions using gcloud .
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Earn a skill badge by completing the Using the Google Cloud Speech API skill badge course, where you learn how create a Speech-to-Text API request, transcribe audio speech to text, and transcribe speech.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
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Complete the intermediate Implement Multimodal Vector Search with BigQuery skill badge to demonstrate skills in the following: using Gemini in BigQuery to generate and debug SQL, conduct sentiment analysis, summarize text and identify keywords, generate embeddings, create a Retrieval Augmented Generation (RAG) pipeline, and implement multimodal vector search.
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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
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Nearly 1 in 3 people worldwide already use AI chatbots in their daily lives, and more than 90% of companies are exploring generative AI for work and learning. In this challenge, you’ll chat with bots that can talk about movies and music, and help you practise French, Spanish, Hindi, Mandarin, and Portuguese. You’ll also explore AI study partners designed for cloud roles like architect, engineer, and digital leader. These labs show how AI can make learning easier, more interactive, and a lot more fun.
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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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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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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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Complete the introductory Monitoring in Google Cloud skill badge course to demonstrate skills in the following: using Cloud Monitoring tools to monitor resources on Google Cloud.
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Earn the Introductory Skill Badge by completing the Implement Speech and Language Solutions with Pre-trained APIs course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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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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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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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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Earn the introductory skill badge by completing the Build a Website on Google Cloud skill badge course. This course is based on the Get Cooking in Cloud series and covers`:`Deploying a website on Cloud RunHosting a web app on Compute EngineCreating, deploying, and scaling your website on Google Kubernetes EngineMigrating from a monolithic application to a microservices architecture using Cloud Build
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Earn a skill badge by completing the Develop with Apps Script and AppSheet skill badge course, where you learn how to build chat bots and how to use the script editor in any document.
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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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Earn a skill badge by completing the Deploy and Secure Serverless APIs with API Gateway skill badge course, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway.
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Earn an introductory skill badge by completing the Implement Cloud Collaboration and Productivity Workflows course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.
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Complete the introductory Organize and Govern Data with Knowledge Catalog skill badge to demonstrate skills in the following: creating Knowledge Catalog assets, creating aspect types, and applying aspects to entries in Knowledge Catalog.
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Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
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Earn a skill badge by completing the Implement Event-Driven Messaging and Automation Workflows skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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Earn a Skill Badge by completing the Implement Cloud Storage and Data Protection Solutions course. Learn to create a Cloud Storage bucket, use the command line, and protect objects with Bucket Lock.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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