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Apply your skills in Google Cloud console

Ayush Gupta

Member since 2025

Gold League

3748 points
App Engine: 3 Ways Earned נוב 19, 2025 EST
Build Serverless Applications with Cloud Run Functions Earned נוב 19, 2025 EST
Store, Process, and Manage Data on Google Cloud - Console Earned נוב 19, 2025 EST
Set Up a Google Cloud Network Earned נוב 18, 2025 EST
Build a Website on Google Cloud Earned נוב 18, 2025 EST
Develop with Apps Script and AppSheet Earned נוב 18, 2025 EST
App Building with AppSheet Earned נוב 18, 2025 EST
Implement Cloud Collaboration and Productivity Workflows Earned נוב 18, 2025 EST
Get Started with Dataplex Earned נוב 16, 2025 EST
Get Started with Looker Earned נוב 16, 2025 EST
Deploy and Secure Serverless APIs with API Gateway Earned נוב 13, 2025 EST
Implement Event-Driven Messaging and Automation Workflows Earned נוב 13, 2025 EST
Implement Cloud Storage and Data Protection Solutions Earned נוב 13, 2025 EST
The Basics of Google Cloud Compute Earned נוב 12, 2025 EST
Responsible AI for Developers: Fairness & Bias Earned נוב 3, 2025 EST
Work with Gemini Models in BigQuery Earned נוב 2, 2025 EST
Using BigQuery Machine Learning for Inference Earned נוב 2, 2025 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation Earned נוב 1, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI Earned נוב 1, 2025 EDT
Gemini for Data Scientists and Analysts Earned נוב 1, 2025 EDT

Earn a skill badge by completing the App Engine`:` 3 ways 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 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 Get Started with Dataplex skill badge to demonstrate skills in the following: creating Dataplex assets, creating aspect types, and applying aspects to entries in Dataplex.

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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 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 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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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 demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.

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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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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 Vertex AI 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 Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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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. Duet AI was renamed to Gemini, our next-generation model.

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