Srikumaran J
Учасник із 2025
Бронзова ліга
Кількість балів: 720
Monitor and Manage Google Cloud Resources
Earned вер. 3, 2026 EDT
Arcade Adventure: Modern Cloud Architecture
Earned вер. 3, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned вер. 2, 2026 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned серп. 28, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned серп. 27, 2026 EDT
Build a Website on Google Cloud
Earned серп. 27, 2026 EDT
The Basics of Google Cloud Compute
Earned серп. 27, 2026 EDT
Create Your First Gemini Enterprise Application
Earned серп. 26, 2026 EDT
Develop AI-Powered Prototypes in Google AI Studio
Earned серп. 26, 2026 EDT
Share Data Using Google Data Cloud
Earned груд. 29, 2025 EST
Complete the introductory Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.
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Cloud architecture is a lot more fun when you actually know which levers to pull. In this adventure, you'll wire up Pub/Sub messaging, sling storage buckets from the terminal, and trigger Cloud Run functions without getting tangled in server management. Once your pipeline is moving, you'll lock the front door with IAM permissions and wire up real-time monitoring so nothing breaks while you're away. Finish both challenge labs to prove you can build fast, break nothing, and keep the whole machine running smoothly.
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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 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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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 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 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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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 introductory Develop AI-Powered Prototypes in Google AI Studio skill badge to demonstrate skills in the following: crafting effective prompts, leveraging multimodal capabilities for image and video analysis, prototyping functional AI-driven applications from templates and text prompts, and utilizing API keys to build and deploy custom AI solutions. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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