Sudhir Sharma
Member since 2026
Diamond League
20304 points
Arcade Base Camp October 2026
Earned Oct 11, 2026 EDT
Arcade Adventure: Google Cloud ML APIs
Earned Oct 11, 2026 EDT
Arcade Simulator: Site Reliability Engineer
Earned Oct 10, 2026 EDT
Arcade Voyage: Language, Voice, and Multimodal Processing
Earned Oct 8, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned Sep 23, 2026 EDT
Arcade Base Camp September 2026
Earned Sep 18, 2026 EDT
Arcade Trail: Data Engineering and Security
Earned Sep 12, 2026 EDT
Arcade Voyage: App Modernization
Earned Sep 10, 2026 EDT
Arcade Adventure: Modern Cloud Architecture
Earned Sep 6, 2026 EDT
Pitch Perfect
Earned Sep 5, 2026 EDT
Arcade Simulator: DevOps Engineer
Earned Sep 4, 2026 EDT
Arcade Re-Trail: Vaults & Vectors
Earned Aug 23, 2026 EDT
Google Cloud Data Analytics Essentials
Earned Aug 17, 2026 EDT
Configure Gemini Code Assist for Organizations
Earned Aug 16, 2026 EDT
Deploy and Scale AI Models with Cloud Run
Earned Aug 16, 2026 EDT
Streamline App Development with Gemini Code Assist
Earned Aug 16, 2026 EDT
Build AI Agents with Agent Platform and Flutter
Earned Aug 16, 2026 EDT
Website Modernization with Generative AI on Google Cloud
Earned Aug 8, 2026 EDT
Arcade Voyage: Google Sheets
Earned Aug 7, 2026 EDT
Arcade Trail: Cloud Delivery Systems
Earned Aug 7, 2026 EDT
Arcade Base Camp August 2026
Earned Aug 5, 2026 EDT
Arcade Adventure: Data Vault
Earned Aug 4, 2026 EDT
Arcade Simulator: Network Security Engineer
Earned Aug 4, 2026 EDT
Spans and Plans
Earned Aug 3, 2026 EDT
Use Functions, Formulas, and Charts in Google Sheets
Earned Aug 1, 2026 EDT
Implement CI/CD Pipelines on Google Cloud
Earned Aug 1, 2026 EDT
Deploy and Secure Serverless APIs with API Gateway
Earned Aug 1, 2026 EDT
Managing Cloud Infrastructure with Terraform
Earned Aug 1, 2026 EDT
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Jul 31, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Command Line
Earned Jul 30, 2026 EDT
Create a Streaming Data Lake on Cloud Storage
Earned Jul 30, 2026 EDT
Develop AI-Powered Prototypes in Google AI Studio
Earned Jul 30, 2026 EDT
Build Infrastructure with Terraform on Google Cloud
Earned Jul 30, 2026 EDT
Analyze Speech and Language with Google APIs
Earned Jul 30, 2026 EDT
Create Generative AI Apps on Google Cloud
Earned Jul 30, 2026 EDT
Create a Secure Data Lake on Cloud Storage
Earned Jul 29, 2026 EDT
Gemini for end-to-end SDLC
Earned Jul 29, 2026 EDT
Gemini for Application Developers
Earned Jul 29, 2026 EDT
Monitor and Manage Google Cloud Resources
Earned Jul 28, 2026 EDT
Cloud Architecture: Design, Implement, and Manage
Earned Jul 28, 2026 EDT
Build a Smart Cloud Application with Vibe Coding and MCP
Earned Jul 27, 2026 EDT
Create and Manage Bigtable Instances
Earned Jul 24, 2026 EDT
Implement Cloud Storage and Data Protection Solutions
Earned Jul 24, 2026 EDT
Deploy and Manage Apigee X
Earned Jul 24, 2026 EDT
Perform Predictive Data Analysis in BigQuery
Earned Jul 24, 2026 EDT
Automate Data Capture at Scale with Document AI
Earned Jul 24, 2026 EDT
Gen AI: Navigate the Landscape
Earned Jul 24, 2026 EDT
Build Real World AI Applications with Gemini and Imagen
Earned Jul 22, 2026 EDT
Orchestrate Multi-agent Workflows with Gemini Enterprise
Earned Jul 21, 2026 EDT
Enrich Metadata and Discovery of Lakehouse Data
Earned Jul 21, 2026 EDT
Develop with Apps Script and AppSheet
Earned Jul 21, 2026 EDT
Optimize Costs for Google Kubernetes Engine
Earned Jul 20, 2026 EDT
Develop Serverless Applications on Cloud Run
Earned Jul 20, 2026 EDT
Create ML Models with BigQuery ML
Earned Jul 20, 2026 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Jul 20, 2026 EDT
Build a Secure Google Cloud Network
Earned Jul 20, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned Jul 20, 2026 EDT
Kickstarting Application Development with Gemini Code Assist
Earned Jul 19, 2026 EDT
Connecting Cloud Networks with NCC
Earned Jul 19, 2026 EDT
Privileged Access with IAM
Earned Jul 19, 2026 EDT
Enhance Gemini Model Capabilities
Earned Jul 19, 2026 EDT
Analyze and Reason on Multimodal Data with Gemini
Earned Jul 19, 2026 EDT
Implement Multimodal Vector Search with BigQuery
Earned Jul 19, 2026 EDT
Protect Cloud Traffic with Chrome Enterprise Premium Security
Earned Jul 19, 2026 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned Jul 19, 2026 EDT
Explore Generative AI in Agent Platform
Earned Jul 19, 2026 EDT
Build Google Cloud Infrastructure for AWS Professionals
Earned Jul 19, 2026 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned Jul 19, 2026 EDT
Create Your First Gemini Enterprise Application
Earned Jul 18, 2026 EDT
Develop and Secure APIs with Apigee X
Earned Jul 16, 2026 EDT
Discover and Protect Sensitive Data Across Your Ecosystem
Earned Jul 16, 2026 EDT
Arcade Voyage: Cloud Storage and Data Governance
Earned Jul 16, 2026 EDT
Arcade Trail: Google Workspace Administration
Earned Jul 14, 2026 EDT
Secure Software Delivery
Earned Jul 14, 2026 EDT
Arcade Base Camp July 2026
Earned Jul 14, 2026 EDT
Build Serverless Applications with Cloud Run Functions
Earned Jul 14, 2026 EDT
Arcade Adventure: Low-Code Development
Earned Jul 14, 2026 EDT
Safe Spaces
Earned Jul 14, 2026 EDT
Arcade Simulator: Data Mesh Architect
Earned Jul 2, 2026 EDT
Build a Data Warehouse with BigQuery
Earned Jul 1, 2026 EDT
Deploy Multi-Agent Architectures
Earned Jun 28, 2026 EDT
Work Meets Play: Cloud Canvas
Earned Jun 24, 2026 EDT
Build a Certification Study Guide: PMLE
Earned Jun 18, 2026 EDT
Monitoring in Google Cloud
Earned Jun 17, 2026 EDT
Prepare Data for Looker Dashboards and Reports
Earned Jun 16, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned Jun 16, 2026 EDT
Streaming Analytics into BigQuery
Earned Jun 16, 2026 EDT
Build Event-Driven Applications with Eventarc
Earned Jun 16, 2026 EDT
[DEPRECATED]Introduction to Responsible AI
Earned Jun 16, 2026 EDT
Introduction to Large Language Models
Earned Jun 16, 2026 EDT
Introduction to Generative AI
Earned Jun 16, 2026 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned Jun 16, 2026 EDT
Prompt Design in Agent Platform
Earned Jun 16, 2026 EDT
Google DeepMind: Train A Small Language Model
Earned Jun 15, 2026 EDT
AI Infrastructure: Introduction to AI Hypercomputer
Earned Jun 15, 2026 EDT
Monitor Environments with Google Cloud Managed Service for Prometheus
Earned Jun 14, 2026 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned Jun 14, 2026 EDT
Derive Insights from BigQuery Data
Earned Jun 14, 2026 EDT
[DEPRECATED] Google Calendar
Earned Jun 13, 2026 EDT
[DEPRECATED] Google Sheets
Earned Jun 13, 2026 EDT
[DEPRECATED] Google Meet
Earned Jun 13, 2026 EDT
[DEPRECATED] Google Slides
Earned Jun 13, 2026 EDT
Gen AI: Unlock Foundational Concepts
Earned Jun 13, 2026 EDT
Gen AI: Beyond the Chatbot
Earned Jun 13, 2026 EDT
Migrate MySQL Data to Cloud SQL Using Database Migration Service
Earned Jun 12, 2026 EDT
Integrate BigQuery Data and Google Workspace using Apps Script
Earned Jun 12, 2026 EDT
Create and Manage Cloud Spanner Instances
Earned Jun 11, 2026 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned Jun 11, 2026 EDT
Arcade Voyage: Identity Management and Pre-trained AI APIs
Earned Jun 11, 2026 EDT
[DEPRECATED] Google Docs
Earned Jun 10, 2026 EDT
[DEPRECATED] Google Drive
Earned Jun 10, 2026 EDT
Analyze BigQuery Data in Connected Sheets
Earned Jun 10, 2026 EDT
Configure Service Accounts and IAM Roles for Google Cloud
Earned Jun 10, 2026 EDT
Build Global and Regional Load Balancing Solutions
Earned Jun 9, 2026 EDT
Arcade Base Camp June 2026
Earned Jun 9, 2026 EDT
Implement Sensitive Data Protection on Google Cloud
Earned Jun 8, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned Jun 8, 2026 EDT
Prepare Data for ML APIs on Google Cloud
Earned Jun 7, 2026 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned Jun 5, 2026 EDT
Monitor and Log with Google Cloud Observability
Earned Jun 4, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability
Earned Jun 4, 2026 EDT
Set Up an App Dev Environment on Google Cloud
Earned Jun 4, 2026 EDT
Build LookML Objects in Looker
Earned Jun 3, 2026 EDT
Logic Log
Earned Jun 3, 2026 EDT
Manage Data Models in Looker
Earned Jun 2, 2026 EDT
Create and Manage AlloyDB Instances
Earned May 31, 2026 EDT
Analyze Sentiment with Natural Language API
Earned May 31, 2026 EDT
Organize and Govern Data with Knowledge Catalog
Earned May 31, 2026 EDT
Mitigate Threats and Vulnerabilities with Security Command Center
Earned May 30, 2026 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned May 29, 2026 EDT
Secure Lakehouse Data
Earned May 29, 2026 EDT
Analyze Images with the Cloud Vision API
Earned May 29, 2026 EDT
Using the Google Cloud Speech API
Earned May 29, 2026 EDT
Share Data Using Google Data Cloud
Earned May 29, 2026 EDT
App Building with AppSheet
Earned May 29, 2026 EDT
Use APIs to Work with Cloud Storage
Earned May 28, 2026 EDT
Manage Kubernetes in Google Cloud
Earned May 28, 2026 EDT
Scaling with Google Cloud Operations
Earned May 19, 2026 EDT
Trust and Security with Google Cloud
Earned May 19, 2026 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned May 19, 2026 EDT
Innovating with Google Cloud Artificial Intelligence
Earned May 19, 2026 EDT
Exploring Data Transformation with Google Cloud
Earned May 19, 2026 EDT
Digital Transformation with Google Cloud
Earned May 19, 2026 EDT
Build a Data Mesh with Knowledge Catalog
Earned May 14, 2026 EDT
Develop Serverless Apps with Firebase
Earned May 14, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations
Earned May 14, 2026 EDT
Implement DevOps Workflows in Google Cloud
Earned May 12, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations
Earned May 12, 2026 EDT
Implement Cloud Security Fundamentals on Google Cloud
Earned May 10, 2026 EDT
The Basics of Google Cloud Compute
Earned May 10, 2026 EDT
Arcade Base Camp May 2026
Earned May 10, 2026 EDT
Build a Website on Google Cloud
Earned May 9, 2026 EDT
Deploy and Manage Applications on Google App Engine
Earned May 9, 2026 EDT
Arcade Adventure: Modern App Deployment
Earned May 9, 2026 EDT
Develop Your Google Cloud Network
Earned May 6, 2026 EDT
Deploy Kubernetes Applications on Google Cloud
Earned May 6, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned May 6, 2026 EDT
Use Machine Learning APIs on Google Cloud
Earned May 5, 2026 EDT
Set Up a Google Cloud Network
Earned May 5, 2026 EDT
Skill Up Summer
Earned May 5, 2026 EDT
Arcade Voyage: Modern Application Development
Earned Apr 29, 2026 EDT
Arcade Trail: Data Migration
Earned Apr 29, 2026 EDT
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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Teaching computers to see and listen is a lot easier when you have pre-trained machine learning APIs doing the heavy lifting. In this adventure, you'll start by querying Google Cloud endpoints directly from APIs Explorer, then teach your applications to read multilingual text, recognize facial features, and spot landmarks in raw photos. Once your visual pipeline is dialed in, you'll turn to audio—converting spoken words into real-time transcripts and streaming live audio directly through web interfaces. Knock out both challenge labs unassisted to prove you can turn unstructured sight and sound into clean, actionable cloud intelligence.
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Welcome to this month's Arcade Simulator, where you'll step into the shoes of a Site Reliability Engineer tasked with keeping production fast and resilient. You'll build automated CI/CD pipelines with Cloud Build, store artifacts securely, and manage Kubernetes rollouts on GKE. Then, configure custom VPC networks, lock down firewalls, and benchmark VM latency to eliminate performance bottlenecks. Clear both challenge labs to prove you can automate releases, secure infrastructure, and maintain rock-solid uptime.
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Transforming unstructured multimedia into searchable, structured data is the core of modern cognitive computing. In this voyage, you'll analyze sentiment and extract entities using the Cloud Natural Language API, pairing language workflows with Apache Spark to demonstrate big-data scalability. From there, you'll branch into multimodal synthesis—generating lifelike audio using Text-to-Speech, bridging global barriers with the Cloud Translation API, and annotating video streams via Video Intelligence. Complete both challenge labs to prove you can deploy pre-trained models that read, speak, translate, and inspect content at scale.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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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!
Learn more
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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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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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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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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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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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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Discover how to turn raw numbers into clear, data-driven decisions on Google Cloud. Through hands-on labs and practical real-world scenarios, this beginner-level course guides you through querying data in BigQuery, exploring trends in Looker, and crafting shareable, interactive reports in Data Studio.
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This course is designed for Google Cloud developers and DevOps engineers who have basic knowledge of the Google Cloud console and are responsible for configuring Gemini Code Assist for an organization. The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions. The course also shows you how to configure and manage Gemini Code Assist within an organization.
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AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products.
The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
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Designed for developers of all levels, this course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud. From intelligent code suggestions and auto-completion to real-time error detection and refactoring assistance, you'll discover how Gemini Code Assist can significantly enhance your productivity and code quality, and save valuable time to focus on more productive and enjoyable tasks.
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This course provides a foundational understanding of Gemini models and their application in generative AI solutions. You will explore the tools available on the Gemini Enterprise Agent Platform to build search and reasoning capabilities for your apps.
You will also work with Flutter, Google's UI framework used to build applications for multiple platforms from a single codebase.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Enhance the navigation experience of your website by using generative AI (gen AI) to provide a better search experience for your users.
In this course, you'll learn how to use Agent Search on Gemini Enterprise Agent Platform to provide your website users a generative search experience, enabling them to discover content offered by the website. As a website editor, you also learn how to use gen AI to quickly and efficiently translate and improve the content using suggestions. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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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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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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!
Learn more
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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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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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 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 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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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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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.
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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
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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 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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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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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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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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Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?
In this course, you'll learn about generative AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs. You'll learn about a production-ready architecture that can be used for generative AI applications and you'll build an LLM and RAG-based chat application. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
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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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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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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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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
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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 Manage Apigee X skill badge course, where you learn about the Apigee X architecture, how to provision an Apigee X organization within a Google Cloud project, the management of Apigee X using the Apigee API and UI, and the use of Cloud Armor and Apigee threat protection policies to protect your APIs.
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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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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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Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Google Cloud Agent Platform. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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 Enterprise Agent Ready (GEAR) program.
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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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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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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 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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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 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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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 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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Earn a skill badge by completing the Kickstarting Application Development with Gemini Code Assist course, where you will learn to leverage the power of Google's AI coding assistant and multiple development tech
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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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Complete the intermediate Privileged Access with IAM skill badge to demonstrate skills in the following: custom roles using Identity and Access Management (IAM), the principle of least privilege, Just-in-Time (JIT) temporary elevated access, and security for web applications using Identity-Aware Proxy (IAP).
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Complete the intermediate Enhance Gemini Model Capabilities skill badge to demonstrate skills in the following: leveraging advanced features of Gemini models, including code generation and execution, grounding, controlled content generation, and synthetic data creation, to build more powerful and sophisticated AI applications.
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Complete the intermediate Analyze and Reason on Multimodal Data with Gemini skill badge course to demonstrate skills in the following: analyzing text, image, audio, and video data using Gemini, and reasoning about this combined information to draw conclusions and extract insights.
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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 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 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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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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Earn a skill badge by completing the Build Google Cloud Infrastructure for AWS Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing.
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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge course to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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 Enterprise Agent Ready (GEAR) program.
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Earn a skill badge by completing the Develop and Secure APIs with Apigee X skill badge course, where you learn how to modernize your APIs, use service accounts and Google Authentication to securely access backend services from Apigee API proxies, productize APIs using API products and developer portals, secure APIs using features like API keys, OAuth, private variables and fault handling, integrate Apigee with Google Cloud services like Pub/Sub and Cloud Logging, and call Google Cloud APIs like the Natural Language API and the Geocoding API.
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Complete the intermediate Discover and Protect Sensitive Data Across Your Ecosystem skill badge to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention (DLP) API) to discover, inspect, redact, and de-identify sensitive data across your Google Cloud ecosystem including Cloud Storage files, BigQuery data, and Gen AI model responses.
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Data is one of the most valuable assets an organization owns, making its safe handling and governance essential. In this voyage, you will master Cloud Storage fundamentals by automating bucket management via APIs and the CLI, while enforcing compliance with Bucket Lock. You will then advance to automated security, configuring Sensitive Data Protection Discovery to scan and catalog risks across BigQuery and Cloud Storage. Complete with two challenge labs, this journey equips you to secure assets across your entire cloud ecosystem.
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Managing an organization’s digital ecosystem isn't just about keeping the lights on—it's about building a secure launchpad for collaboration. In this trail, you'll step into the Google Workspace Admin Console to control user provisioning and application security from the ground up. Then, you'll switch gears to digital education, transforming standard environments into secure virtual classrooms using Google Meet and Google Classroom. Backed by a challenge lab, this trail is your fast track to running enterprise-grade cloud workspaces.
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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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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 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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Who says you need a mountain of code to build great software? This adv is your fast lane to rapid app development and automation. First, you'll jump into Google AppSheet to build and launch fully functional apps entirely code-free. Then, you'll master the backend with Cloud Run Functions, deploying event-driven code via the console and command line. Packed with two hands-on challenge labs, this quest is your ticket to building slick apps and scaling them effortlessly on Google Cloud.
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Building a true "safe space" in the cloud means protecting your applications from external threats while keeping your internal infrastructure stable and efficient. This challenege starts by turning Security Command Center into your ultimate defensive shield—learning to spot risks, investigate threats, and secure your perimeter. From there, you'll bring that same safe-space philosophy to Google Kubernetes Engine (GKE) by isolating workloads safely with multi-tenant namespaces and protecting your budget through smart autoscaling ensuring your cloud environments remain secure and perfectly optimized.
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Welcome to this month's Arcade Simulator where you will be a Data Mesh Architect. In this simulation, you'll first tackle BigQuery to build date-partitioned tables, solve complex join pitfalls, and master nested data structures. Then, you'll shift to decentralized governance using Dataplex Knowledge Catalog to organize assets, assign metadata, and enforce strict cloud security. Complete with two realistic challenge labs, this simulation equips you to break down data silos, scale your infrastructure, and run a secure, seamless data mesh.
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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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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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Great ideas come to life when creativity meets the right tools. Inspired by how Adobe connects its creative universe with Google Workspace to boost collaboration, this challenge shows you how to build seamless, efficient workflows. You’ll start with the basics of setting up shared spaces in Google Drive, managing communications in Gmail, and building no-code apps with AppSheet. From there, you'll connect your workspace to powerful data tools—using Apps Script to automate tasks across Sheets and Maps, analyzing massive datasets with Connected Sheets, and sending that data directly into slide presentations. By the end, you'll know how to bridge the gap between data and design to keep your projects running smoothly.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
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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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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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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 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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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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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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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 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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Ready to get started with AI Hypercomputer? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.
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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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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 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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With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together.
In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar.
You will understand when to apply different event types such as tasks and appointment schedules.
You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working.
During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.
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In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace.
With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required.
Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically.
You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types.
Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet.
Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…
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In this course, we introduce you to Google Meet, Google’s video conference software included with Google Workspace.
You learn how to create and manage video conference meetings using Google Meet. You explore different ways to open Google Meet and add people to a video conference. You also learn how to join meetings from different sources like calendar events or meeting links.
We discuss how Google Meet can help you better communicate, exchange ideas, and share resources with your team wherever they are. You learn how to customize the Google Meet environment to fit your needs and how to effectively use chat messages during a video conference. You also explore different ways to share resources, such as by using calendar invites or attachments.
You learn about using host controls in Google Meet to manage participants and utilize interactive moderation features. You also learn how to record and live stream video conferences.
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With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.
Google Slides presentations are stored safely in the cloud. You build presentations right in your web browser—no special software is required. Even better, multiple people can work on your slides at the same time, you can see people’s changes as they make them, and every change is automatically saved.
You will learn how to open Google Slides, create a blank presentation, and create a presentation from a template. You will explore themes, layout options, and how to add and format content, and speaker notes in your presentations.
You will learn how to enhance your slides by adding tables, images, charts, and more. You will also learn how to use slide transitions and object animations in your presentation for visual effects.
We will discuss how to organize slides and explore some of the options, including duplicating and ordering your slides, importi…
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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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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 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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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 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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Keeping your cloud resources secure and making your apps smarter are two essential skills for any cloud developer. In this voyage, you’ll start with the security fundamentals, learning how to configure service accounts, manage IAM permissions using gcloud, and set up custom roles. Once you've secured your environment, you'll work with Google Cloud's pre-trained AI tools—converting text to synthetic speech, translating languages on the fly, and transcribing audio files into text. Complete with two practical challenge labs to test your skills, you'll walk away knowing how to safely manage access to your cloud project while adding powerful language and speech features to your applications.
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With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically.
In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document.
You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more.
You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents.
Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents.
We will review a few of the G…
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Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device.
In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive.
Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content.
Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned.
You’ll also explore ways to ensure consistency and save time…
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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 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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Complete the intermediate Build Global and Regional Load Balancing Solutions skill badge course to demonstrate skills in the following: deploy and utilize an internal client VM within the same VPC network and test traffic distribution, backend infrastructure suitable for a global external application Load Balancer, and backend VM instances and load balancer components using startup scripts and network tags to host a web application service.
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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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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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Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.
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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 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 Monitor and Log with Google Cloud Observability skill badge course to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics.
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Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.
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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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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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Building a reliable platform for data analysis requires structured data modeling and clean, maintainable code. In this challenge, you’ll start with the building blocks of LookML, creating custom dimensions, measures, and derived tables to shape your data exactly how you need it. From there, you'll work on making your platform faster and easier to use by setting up caching, defining datagroups, and modularizing your code using extends. By following these development best practices, you'll walk away knowing how to build efficient, scalable data models that your team can easily rely on.
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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 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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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 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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Complete the intermediate Mitigate Threats and Vulnerabilities with Security Command Center skill badge course to demonstrate skills in the following: preventing and managing environment threats, identifying and mitigating application vulnerabilities, and responding to security anomalies.
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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 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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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 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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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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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 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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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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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. This course explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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As organizations move their data and applications to the cloud, they must address a rapidly evolving landscape of security challenges. This course explores the foundations of cloud security, the value of Google Cloud’s secure-by-design infrastructure, and the defense-in-depth strategy, while highlighting how AI-driven operations and compliance tools help organizations meet strict global regulatory requirements.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Many traditional enterprises use legacy systems and apps that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems and investing in new products and services. This course explores these challenges and offers solutions to overcome them by using cloud technology.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. Innovating with Google Cloud Artificial Intelligence explores how organizations can use AI and ML to transform their business processes.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology is a powerful asset, and when paired with data, it becomes a catalyst for innovation and enhanced customer experiences. Exploring Data Transformation with Google Cloud examines how organizations can leverage the cloud to make their data more accessible, actionable, and valuable.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Digital transformation is a critical journey for modern organizations, and establishing a strong baseline in cloud computing is the first step toward driving meaningful innovation. Digital Transformation with Google Cloud introduces the core technologies and strategic frameworks that help organizations modernize their operations. This course explores fundamental cloud concepts, global network infrastructure, and the shared responsibility model to help leaders navigate their path to the cloud with confidence.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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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 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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Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.
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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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Securing applications and streamlining delivery go hand in hand in modern cloud environments. In this trail, you’ll work with tools like Cloud KMS, Identity-Aware Proxy, and service accounts to manage access and protect resources. You’ll also explore private Kubernetes clusters, artifact management, and build CI/CD pipelines with Cloud Build—bringing together the essentials of cloud security and DevOps in practice.
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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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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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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 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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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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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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On Google Cloud, building an app usually means handling more than just the code. You’ll need to deploy it, connect services, and keep things running properly. In this voyage, you’ll host a web app, set up a deployment pipeline, and build a REST API with Cloud Run. You’ll also try out Flutter and set up a Python development environment. You’ll work with VPC networks, load balancing, and clean up unused resources along the way. It’s a practical set of tasks that reflects how apps are actually run on Google Cloud.
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A lot of cloud work comes down to moving data, managing access, and making sense of what’s happening behind the scenes. In this trail, you’ll migrate a MySQL database to Google Cloud, work with IAM permissions using gcloud, and analyze network traffic with VPC Flow Logs. You’ll also store and manage media files, prepare data with Dataprep, and build reports using Looker Studio and LookML. There’s even a lab on measuring Speech-to-Text accuracy. It’s a mix of tasks that shows how data is handled, monitored, and used across different parts of Google Cloud.
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