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Rajnish Gaurav

Member since 2025

Diamond League

5254 points
App Building with AppSheet Earned דצמ 12, 2025 EST
Optimize Costs for Google Kubernetes Engine Earned דצמ 12, 2025 EST
Manage Kubernetes in Google Cloud Earned דצמ 12, 2025 EST
Use APIs to Work with Cloud Storage Earned דצמ 12, 2025 EST
Store, Process, and Manage Data on Google Cloud - Console Earned דצמ 12, 2025 EST
Implement Multimodal Vector Search with BigQuery Earned דצמ 12, 2025 EST
Implement CI/CD Pipelines on Google Cloud Earned דצמ 12, 2025 EST
Perform Predictive Data Analysis in BigQuery Earned דצמ 12, 2025 EST
Implementing Cloud Load Balancing for Compute Engine Earned דצמ 11, 2025 EST
Create and Manage Cloud Spanner Instances Earned דצמ 11, 2025 EST
Create and Manage AlloyDB Instances Earned דצמ 11, 2025 EST
Use Functions, Formulas, and Charts in Google Sheets Earned דצמ 11, 2025 EST
Protect Cloud Traffic with Chrome Enterprise Premium Security Earned דצמ 11, 2025 EST
Build a Data Warehouse with BigQuery Earned דצמ 11, 2025 EST
Build a Website on Google Cloud Earned דצמ 11, 2025 EST
Implement Cloud Storage and Data Protection Solutions Earned דצמ 11, 2025 EST
Deploy and Secure Serverless APIs with API Gateway Earned אוק 2, 2025 EDT
Implement Event-Driven Messaging and Automation Workflows Earned אוק 2, 2025 EDT
Get Started with Sensitive Data Protection Earned אוק 2, 2025 EDT
Implement Cloud Security Fundamentals on Google Cloud Earned אוק 2, 2025 EDT
Prepare Data for ML APIs on Google Cloud Earned אוק 2, 2025 EDT
Secure Software Delivery Earned אוק 2, 2025 EDT
Set Up a Google Cloud Network Earned אוק 2, 2025 EDT
Store, Process, and Manage Data on Google Cloud - Command Line Earned אוק 2, 2025 EDT
Create a Secure Data Lake on Cloud Storage Earned אוק 2, 2025 EDT
Develop Your Google Cloud Network Earned אוק 2, 2025 EDT
DEPRECATED Detect Manufacturing Defects Using Visual Inspection AI Earned אוק 2, 2025 EDT
Build Serverless Applications with Cloud Run Functions Earned אוק 2, 2025 EDT
Deploy and Manage Applications on Google App Engine Earned אוק 2, 2025 EDT
Build a Secure Google Cloud Network Earned אוק 2, 2025 EDT
Automate Data Capture at Scale with Document AI Earned אוק 2, 2025 EDT
Analyze Images with the Cloud Vision API Earned אוק 2, 2025 EDT
Analyze Speech and Language with Google APIs Earned אוק 2, 2025 EDT
Analyze Sentiment with Natural Language API Earned אוק 2, 2025 EDT
Connecting Cloud Networks with NCC Earned אוק 2, 2025 EDT
Use Machine Learning APIs on Google Cloud Earned אוק 2, 2025 EDT
Configure Service Accounts and IAM Roles for Google Cloud Earned אוק 2, 2025 EDT
Set Up an App Dev Environment on Google Cloud Earned אוק 2, 2025 EDT
Monitor Environments with Google Cloud Managed Service for Prometheus Earned אוק 2, 2025 EDT
Explore Generative AI in Agent Platform Earned אוק 1, 2025 EDT
Build Infrastructure with Terraform on Google Cloud Earned אוק 1, 2025 EDT
Create ML Models with BigQuery ML Earned אוק 1, 2025 EDT
Level 3: Developer Essentials Earned ספט 30, 2025 EDT
Deploy Kubernetes Applications on Google Cloud Earned ספט 28, 2025 EDT
Build Event-Driven Applications with Eventarc Earned ספט 28, 2025 EDT
Future Ready Skills Earned אוג 17, 2025 EDT

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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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.

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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.

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Complete the introductory Use APIs to Work with Cloud Storage skill badge to demonstrate skills in the following: using APIs to work with Cloud Storage resources, including the Cloud Storage API.

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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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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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Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud skill badge course where you learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You interact with the Google Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course teaches you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you get hands-on experience deploying applications to both GKE and Cloud Run.

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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.

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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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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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Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.

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Complete the intermediate Use Functions, Formulas and Charts in Google Sheets skill badge course to demonstrate skills in the following: analyzing data with functions; visualizing data using charts; and searching, validating, formatting, and displaying data.

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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 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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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 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 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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Complete the introductory Get Started with Sensitive Data Protection 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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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 introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Managed Service for Apache Spark, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

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Complete the intermediate Secure Software Delivery skill badge to demonstrate your proficiency in proactively integrating security into the software development lifecycle (SDLC) with DevSecOps principles. You'll learn how to utilize Google Kubernetes Engine (GKE) and Cloud Run for secure container image deployment, implement automated vulnerability scanning to proactively identify risks, and streamline application development with Artifact Registry while maintaining a focus on security. Additionally, you'll gain skills in integrating Cloud Build for robust development processes and implementing Admission Control Policies for fine-grained control over your environment.

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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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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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Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Knowledge Catalog lake for data governance.

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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.

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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.

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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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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 skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.

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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.

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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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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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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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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 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 a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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Earn a skill badge by completing the Monitor Environments with Google Cloud Managed Service for Prometheus skill badge course, where you learn Kubernetes Monitoring with Google Cloud Managed Service for Prometheus.

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Complete the intermediate Explore Generative AI in Agent Platform skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.

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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.

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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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From containerization with Docker to scalable databases on Firebase, developer success starts with mastering the essentials. These labs guide you through core skills like container networking and volumes, static site hosting on Cloud Storage, database operations with Firestore in multiple languages, and Linux command-line basics—helping you strengthen the foundation every modern developer needs and earn an exclusive Google Cloud credential!

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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.

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Earn a Skill Badge by completing the Build Event-Driven Applications with Eventarc course. In this course, you use Eventarc to create event triggers for different resources, including Pub/Sub topics and Cloud Storage buckets.

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Cloud roles are evolving fast—and staying future-ready means knowing more than just code. According to industry reports, over 70% of cloud professionals now work across app development, data engineering, and network management. This challenge is designed to equip you with skills across all three. You'll build dynamic apps with Flutter and Node.js, work with modern data tools like Firestore, LookML, and Cloud SQL, and strengthen your networking fundamentals with Cloud NAT, HA-VPN, and Private Google Access. There’s even a hands-on intro to machine learning with TensorFlow. These are the skills that don’t just meet today’s demands—they prepare you for what’s next!

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