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SNEHA KOPPULA

Member since 2023

Arcade Adventure: Modern Cloud Architecture Earned сент. 19, 2026 EDT
Build LookML Objects in Looker Earned сент. 12, 2026 EDT
Arcade Simulator: DevOps Engineer Earned сент. 11, 2026 EDT
Arcade Voyage: App Modernization Earned сент. 10, 2026 EDT
Develop Serverless Applications on Cloud Run Earned сент. 10, 2026 EDT
Pitch Perfect Earned сент. 8, 2026 EDT
Create a Streaming Data Lake on Cloud Storage Earned сент. 7, 2026 EDT
Arcade Trail: Data Engineering and Security Earned сент. 7, 2026 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service Earned сент. 5, 2026 EDT
Prepare Data for Looker Dashboards and Reports Earned сент. 1, 2026 EDT
Manage Data Models in Looker Earned авг. 30, 2026 EDT
Explore Generative AI in Agent Platform Earned авг. 30, 2026 EDT
Google DeepMind: Train A Small Language Model Earned авг. 29, 2026 EDT
Set Up an App Dev Environment on Google Cloud Earned авг. 28, 2026 EDT
Build a Secure Google Cloud Network Earned авг. 26, 2026 EDT
Derive Insights from BigQuery Data Earned авг. 26, 2026 EDT
Enrich Metadata and Discovery of Lakehouse Data Earned авг. 24, 2026 EDT
Integrate BigQuery Data and Google Workspace using Apps Script Earned авг. 24, 2026 EDT
Build a Smart Cloud Application with Vibe Coding and MCP Earned авг. 23, 2026 EDT
Arcade Re-Trail: Vaults & Vectors Earned авг. 22, 2026 EDT
Implement DevOps Workflows in Google Cloud Earned авг. 22, 2026 EDT
Create ML Models with BigQuery ML Earned авг. 20, 2026 EDT
Analyze BigQuery Data in Connected Sheets Earned авг. 20, 2026 EDT
Implement Cloud Collaboration and Productivity Workflows Earned авг. 20, 2026 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned авг. 19, 2026 EDT
Monitor and Manage Google Cloud Resources Earned авг. 19, 2026 EDT
Secure Lakehouse Data Earned авг. 19, 2026 EDT
Arcade Voyage: Google Sheets Earned авг. 17, 2026 EDT
Share Data Using Google Data Cloud Earned авг. 17, 2026 EDT
Arcade Adventure: Data Vault Earned авг. 17, 2026 EDT
Arcade Trail: Cloud Delivery Systems Earned авг. 12, 2026 EDT
Implement Event-Driven Messaging and Automation Workflows Earned авг. 11, 2026 EDT
Implement Speech and Language Solutions with Pre-trained APIs Earned авг. 11, 2026 EDT
Implement Cloud Storage and Data Protection Solutions Earned авг. 11, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Console Earned авг. 11, 2026 EDT
Build Event-Driven Applications with Eventarc Earned авг. 10, 2026 EDT
Arcade Simulator: Network Security Engineer Earned авг. 9, 2026 EDT
Develop AI-Powered Prototypes in Google AI Studio Earned авг. 8, 2026 EDT
Spans and Plans Earned авг. 7, 2026 EDT
Orchestrate Multi-agent Workflows with Gemini Enterprise Earned авг. 5, 2026 EDT
Deploy Multi-Agent Architectures Earned авг. 5, 2026 EDT
Arcade Base Camp August 2026 Earned авг. 4, 2026 EDT
Configure Service Accounts and IAM Roles for Google Cloud Earned авг. 3, 2026 EDT
Analyze Images with the Cloud Vision API Earned авг. 2, 2026 EDT
Create Your First Gemini Enterprise Application Earned авг. 2, 2026 EDT
Analyze Speech and Language with Google APIs Earned авг. 1, 2026 EDT
Build Infrastructure with Terraform on Google Cloud Earned июля 29, 2026 EDT
Serverless Data Processing with Dataflow: Operations Earned июля 15, 2026 EDT
Boost Productivity with Gemini in BigQuery Earned июля 13, 2026 EDT
Serverless Data Processing with Dataflow: Develop Pipelines Earned июля 12, 2026 EDT
Work with Gemini Models in BigQuery Earned июля 11, 2026 EDT
Build a Data Mesh with Knowledge Catalog Earned июля 10, 2026 EDT
Build a Data Warehouse with BigQuery Earned июля 9, 2026 EDT
Build Streaming Data Pipelines on Google Cloud Earned июля 9, 2026 EDT
Build Batch Data Pipelines on Google Cloud Earned июня 23, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK) Earned мая 28, 2026 EDT
Develop Serverless Apps with Firebase Earned мая 26, 2026 EDT
Arcade Adventure: Modern App Deployment Earned мая 24, 2026 EDT
The Basics of Google Cloud Compute Earned мая 23, 2026 EDT
Arcade Base Camp May 2026 Earned мая 23, 2026 EDT
Build a Website on Google Cloud Earned мая 20, 2026 EDT
Deploy and Manage Applications on Google App Engine Earned мая 20, 2026 EDT
Deploy Kubernetes Applications on Google Cloud Earned мая 15, 2026 EDT
Develop Your Google Cloud Network Earned мая 15, 2026 EDT
Work Meets Play: Expressive Efficiency Earned мая 15, 2026 EDT
Use Machine Learning APIs on Google Cloud Earned мая 14, 2026 EDT
Set Up a Google Cloud Network Earned мая 14, 2026 EDT
Skill Up Summer Earned мая 14, 2026 EDT
Create a Secure Data Lake on Cloud Storage Earned янв. 8, 2026 EST
Prepare Data for ML APIs on Google Cloud Earned янв. 2, 2026 EST
Implement Sensitive Data Protection on Google Cloud Earned янв. 2, 2026 EST
Work Meets Play: Burger Bytes Earned дек. 27, 2025 EST
Streaming Analytics into BigQuery Earned дек. 21, 2025 EST
Store, Process, and Manage Data on Google Cloud - Command Line Earned дек. 20, 2025 EST
Put It All Together: Prepare for a Cloud Data Analyst Job Earned дек. 16, 2025 EST
Data Transformation in the Cloud Earned дек. 16, 2025 EST
Serverless Data Processing with Dataflow: Foundations Earned дек. 15, 2025 EST
Build Data Lakes and Data Warehouses on Google Cloud Earned дек. 11, 2025 EST
Data Management and Storage in the Cloud Earned дек. 9, 2025 EST
Networking in Google Cloud: Network Security Earned дек. 9, 2025 EST
Build a Certification Study Guide: PDE Exam Prep Earned дек. 8, 2025 EST
The Power of Storytelling: How to Visualize Data in the Cloud Earned дек. 1, 2025 EST
Introduction to Data Analytics in Google Cloud Earned окт. 9, 2025 EDT
Introduction to Data Engineering on Google Cloud Earned окт. 3, 2025 EDT

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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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.

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Welcome to this month's Arcade Simulator, where you'll step into the shoes of a DevOps Engineer tasked with keeping production environments fast, scalable, and resilient. You'll lay down a secure foundation with multi-VPC networks and access controls, then deploy multi-tier load balancers to distribute compute traffic seamlessly. Clear both challenge labs to prove you can automate, secure, and scale enterprise infrastructure without missing a beat.

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Great code shouldn't get bogged down by infrastructure headaches. In this voyage, you'll master modern deployment patterns by turning ideas into production-ready microservices. From generating dynamic files and decoupling services with Pub/Sub to deploying polyglot apps across three different languages on App Engine, you'll cover the full developer lifecycle. Complete the challenge labs and show you know how to build fast, scale effortlessly, and keep things resilient.

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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.

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Great teams don't just wing it—they execute a game plan. In this track, you'll captain your backend from the tactical board to the final whistle. Tune Spanner schemas for high-pressure traffic, whip pinpoint Pub/Sub messages across your services , and score clean API deployments with Cloud Run. Beat the challenge labs to claim your badge!

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Earn a skill badge by completing the Create a Streaming Data Lake on Cloud Storage course, where you use Pub/Sub, Dataflow, and Cloud Storage together to create a streaming data lake 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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Streaming high-velocity data is great, but only if your pipeline doesn't break under pressure. In this trail, you'll wire up Pub/Sub and Python Dataflow to stream live data straight into Cloud Storage, then lock the whole environment down. By encrypting keys with Cloud KMS, cataloging assets, and isolating networks with VPC Peering, you'll clear both challenge labs and prove you can build real-time data lakes that are as fast as they are secure.

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Complete the introductory Migrate MySQL Data to Cloud SQL Using Database Migration Service skill badge course to demonstrate skills in the following: migrating MySQL data to Cloud SQL using different job types and connectivity options available in Database Migration Service and migrating MySQL user data when running Database Migration Service jobs.

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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.

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Complete the intermediate Manage Data Models in Looker skill badge course to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies.

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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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Complete the advanced Google DeepMind: Train A Small Language Model 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. Access this lab at no-cost by signing up for the no-cost subscription. Receive 35 free credits each month!

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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 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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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Data Studio by connecting to BigQuery data.

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Complete the Enrich Metadata and Discovery of Lakehouse Data skill badge course to demonstrate skills in BigQuery, Lakehouse, and Knowledge Catalog. You create Lakehouse tables and enrich metadata management and discovery of the table data.

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Complete the introductory Integrate BigQuery Data and Google Workspace using Apps Script skill badge course to demonstrate skills in connecting Workspace products with BigQuery via AppSheet.

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Earn a skill badge by completing the Build a Smart Cloud Application with Vibe Coding and MCP course, where you will learn to leverage the power of Google's AI coding assistant and MCP servers. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

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Since last month's Arcade Trail wrapped up earlier than expected, we’re opening up this bonus game only for this month so you can grab that missed Arcade Point! You'll start on the vault side with Google Cloud Storage—managing buckets, exploring APIs, and locking down sensitive data with Bucket Lock. Then, you'll shift to event-driven vectors at the command line, triggering Cloud Run Functions and routing real-time messages through Pub/Sub. Complete with two hands-on challenge labs, this trail gets your streak back on track while building real-world storage and serverless skills.

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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating and managing Git repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.

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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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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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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 intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.

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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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Complete the introductory Secure Lakehouse Data skill badge course to demonstrate skills with IAM, BigQuery, Lakehouse, and Knowledge Catalog to create and secure Lakehouse tables.

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Transforming raw spreadsheet data into structured business intelligence requires precise validation, efficient navigation, and dynamic visual reporting. This voyage path builds core analytical competencies using Google Sheets. You will begin by implementing strict data validation rules, configuring targeted search workflows, and ensuring data integrity across large datasets. You will then advance to building dynamic charts and executing complex analytical formulas to extract meaningful insights. Finalized with a comprehensive challenge lab, this voyage prepares you to build reliable, presentation-ready analytical workbooks.

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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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Who says sharing complex data across boundaries has to be a compliance nightmare? This adventure is your blueprint for delivering modern Analytics-as-a-Service on Google Data Cloud. You'll start by building secure, authorized views on BigQuery to safely expose data to partners without exposing underlying tables. Next, you'll learn to consume customer-specific datasets and streamline cross-organization data delivery. Packed with a hands-on challenge lab, this adventure gives you the practical skills to publish, share, and scale data seamlessly while keeping security tight.

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Accelerating software delivery while maintaining stability demands automated build, artifact, and release pipelines. This trail covers the core practices for implementing continuous integration and continuous delivery (CI/CD) on Google Cloud. You will begin by managing container images with Artifact Registry and building automated pipelines for Google Kubernetes Engine using Cloud Build. Next, you will configure continuous delivery workflows with Google Cloud Deploy to safely promote releases across environments. Concluding with a practical challenge lab, this trail prepares you to establish resilient, production-ready deployment pipelines.

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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 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 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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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 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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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 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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It’s all about global spans and execution plans. First, you'll get under the hood of Google Cloud Spanner to design schemas, load data at scale, and master query plan optimization. From there, you'll execute your serverless backend plan by wiring up Cloud Run Functions, Pub/Sub messaging, and API Gateway. Packed with two challenge labs, you'll leave with full control over enterprise data and event-driven APIs.

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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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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 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 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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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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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 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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In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.

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This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.

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In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.

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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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Complete the introductory Build a Data Mesh with Knowledge Catalog skill badge to demonstrate skills in the following: building a data mesh with Knowledge Catalog to facilitate data security, governance, and discovery on Google Cloud. You practice and test your skills in tagging assets, assigning IAM roles, and assessing data quality in Knowledge Catalog.

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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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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.

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In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting. Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.

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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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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.

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Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.

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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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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 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 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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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 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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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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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 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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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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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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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 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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Every second counts when a line of cars is waiting at the drive-thru. Wendy’s is using Google Cloud to turn data and AI into faster, more accurate ordering—handling countless menu combinations without slowing things down. In this challenge, you’ll tap into the same ideas. You’ll create clear dashboards with Looker, shape and query data in BigQuery and Cloud SQL, apply machine learning and language analysis to spot patterns, and keep systems reliable with Kubernetes and data platforms. It’s about learning how smart data and AI come together to keep experiences smooth, even at peak speed.

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Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.

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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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You made it! This is the fifth and final course of the Google Cloud Data Analytics Certificate. There’s no time like the present to start preparing for your job as a Cloud Data Analyst. Let's polish up that resume and refine those interview skills to allow you to show up with confidence for your interview!

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This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.

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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

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Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.

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Welcome to the fourth course of the "Networking in Google Cloud" series: Network Security! In this course, you'll dive into the services for safeguarding your Google Cloud network infrastructure. The first module, Distributed Denial of Service (DDoS) Protection, covers how to fortify your network against Distributed Denial of Service (DDoS) attacks, ensuring uninterrupted availability of your services. In the second module, Controlling Access to VPC Networks, you'll learn the network access control, enabling you to define permissions for who can access your resources and how. Finally, in the third module, Advanced Security Monitoring and Analysis, we'll explore how to proactively detect and respond to potential threats, keeping your Google Cloud environment secure and resilient. By the end of this course, you'll have a comprehensive understanding of Google Cloud network security.

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam. You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.

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You’re over halfway through the program! This is the fourth course of the Google Cloud Data Analytics Certificate. Level up your data visualization skills by unlocking the secrets of transforming flat data into captivating stories that leap from the screen and onto the agenda of your key stakeholders. Happy learning!

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Welcome learner! This is the first of five courses of the Google Cloud Data Analytics Certificate. Jump into the world of data analytics and cloud computing. Explore the data lifecycle in the cloud and gain a better understanding of the common tools used by data analysts.

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In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

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