Vedang Dhuri
Member since 2025
Diamond League
5295 points
Build Real World AI Applications with Gemini and Imagen
Earned Ağu 9, 2026 EDT
Add Agent Capabilities With Tools
Earned Ağu 8, 2026 EDT
Manage Agent Memory and State
Earned Ağu 8, 2026 EDT
Optimize Agent Behavior
Earned Ağu 8, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned Ağu 8, 2026 EDT
Deploy Your First Agent
Earned Ağu 8, 2026 EDT
Build and Deploy Agents in Production
Earned Ağu 8, 2026 EDT
Human-Centered AI
Earned Ağu 8, 2026 EDT
Üretken Yapay Zeka Ajanları: Kuruluşunuzu Dönüştürün
Earned Ağu 8, 2026 EDT
Deploy and Secure Serverless APIs with API Gateway
Earned Ağu 8, 2026 EDT
Spans and Plans
Earned Ağu 8, 2026 EDT
Create and Manage Cloud Spanner Instances
Earned Ağu 8, 2026 EDT
Use Functions, Formulas, and Charts in Google Sheets
Earned Ağu 7, 2026 EDT
Arcade Voyage: Google Sheets
Earned Ağu 7, 2026 EDT
Organize and Govern Data with Knowledge Catalog
Earned Ağu 7, 2026 EDT
Implement CI/CD Pipelines on Google Cloud
Earned Ağu 6, 2026 EDT
Arcade Trail: Cloud Delivery Systems
Earned Ağu 6, 2026 EDT
Privileged Access with IAM
Earned Ağu 5, 2026 EDT
Arcade Simulator: Network Security Engineer
Earned Ağu 5, 2026 EDT
Connecting Cloud Networks with NCC
Earned Ağu 5, 2026 EDT
Develop with Apps Script and AppSheet
Earned Ağu 4, 2026 EDT
Share Data Using Google Data Cloud
Earned Ağu 4, 2026 EDT
Arcade Adventure: Data Vault
Earned Ağu 4, 2026 EDT
Manage Kubernetes in Google Cloud
Earned Ağu 3, 2026 EDT
Deploy Multi-Agent Architectures
Earned Ağu 3, 2026 EDT
Monitoring in Google Cloud
Earned Ağu 3, 2026 EDT
Arcade Base Camp August 2026
Earned Ağu 3, 2026 EDT
Analyze Sentiment with Natural Language API
Earned Ağu 3, 2026 EDT
Orchestrate Multi-agent Workflows with Gemini Enterprise
Earned Tem 28, 2026 EDT
Analyze BigQuery Data in Connected Sheets
Earned Tem 20, 2026 EDT
Implement Cloud Collaboration and Productivity Workflows
Earned Tem 20, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned Tem 19, 2026 EDT
Build Event-Driven Applications with Eventarc
Earned Tem 17, 2026 EDT
Analyze Images with the Cloud Vision API
Earned Tem 17, 2026 EDT
Implement Sensitive Data Protection on Google Cloud
Earned Tem 17, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned Tem 17, 2026 EDT
Analyze Speech and Language with Google APIs
Earned Tem 17, 2026 EDT
Using the Google Cloud Speech API
Earned Tem 16, 2026 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned Tem 16, 2026 EDT
Deploy and Manage Applications on Google App Engine
Earned Tem 16, 2026 EDT
Implement Cloud Storage and Data Protection Solutions
Earned Tem 16, 2026 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned Tem 16, 2026 EDT
The Basics of Google Cloud Compute
Earned Tem 16, 2026 EDT
Develop AI-Powered Prototypes in Google AI Studio
Earned Tem 16, 2026 EDT
Build a Data Mesh with Knowledge Catalog
Earned Tem 15, 2026 EDT
Arcade Simulator: Data Mesh Architect
Earned Tem 15, 2026 EDT
Build a Data Warehouse with BigQuery
Earned Tem 14, 2026 EDT
Optimize Costs for Google Kubernetes Engine
Earned Tem 14, 2026 EDT
Safe Spaces
Earned Tem 14, 2026 EDT
Mitigate Threats and Vulnerabilities with Security Command Center
Earned Tem 11, 2026 EDT
Build Serverless Applications with Cloud Run Functions
Earned Tem 11, 2026 EDT
Arcade Adventure: Low-Code Development
Earned Tem 11, 2026 EDT
App Building with AppSheet
Earned Tem 10, 2026 EDT
Arcade Trail: Google Workspace Administration
Earned Tem 9, 2026 EDT
Gemini for Application Developers
Earned Tem 9, 2026 EDT
Secure Software Delivery
Earned Tem 9, 2026 EDT
Build Infrastructure with Terraform on Google Cloud
Earned Tem 9, 2026 EDT
Arcade Base Camp July 2026
Earned Tem 8, 2026 EDT
Use APIs to Work with Cloud Storage
Earned Tem 8, 2026 EDT
Arcade Voyage: Cloud Storage and Data Governance
Earned Tem 8, 2026 EDT
Discover and Protect Sensitive Data Across Your Ecosystem
Earned Tem 8, 2026 EDT
Create Your First Gemini Enterprise Application
Earned Tem 4, 2026 EDT
Enterprise Agents and Use Cases
Earned Tem 4, 2026 EDT
Agent Fundamentals
Earned Tem 4, 2026 EDT
Introduction to AI Agents
Earned Tem 4, 2026 EDT
Gemini for end-to-end SDLC
Earned Tem 1, 2026 EDT
Configure Service Accounts and IAM Roles for Google Cloud
Earned Haz 29, 2026 EDT
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.
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You’ve built agents with advanced configuration—now give them real-world capabilities. Equip agents with tools that enable searching the web, executing code, querying databases, and performing custom actions. Transform agents from intelligent responders into capable assistants that take action.
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You've built basic LLM agents that respond to queries—now let's make them stateful. Use session state to build agents that maintain context, remember user preferences, and provide personalized experiences. Transform agents from stateless responders to intelligent assistants.
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You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns.
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Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK).
In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.
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Take your agents from localhost to production. This course teaches you to deploy ADK agents to Vertex AI Agent Engine and Cloud Run, with optional cross-session memory via Memory Bank. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Explore the architecture and deployment of multi-agent systems using Google’s Agent Development Kit (ADK) and Google Cloud’s robust infrastructure. You will learn to design hierarchical agent trees and deterministic workflow agents while identifying the ideal hosting environment—from serverless Cloud Run to high-performance GKE—to ensure your AI agents are secure, scalable, and production-ready. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Explore the vital transition from task-driven workflows to human-centric AI orchestration. You will learn to strategically distinguish between augmentation and automation, and how to balance machine efficiency with human intuition.
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Üretken Yapay Zeka Ajanları: Kuruluşunuzu Dönüştürün, Üretken Yapay Zeka Lideri öğrenme rotasının beşinci ve son kursudur. Bu kursta, kuruluşların özel üretken yapay zeka ajanlarını kullanarak belirli işletme zorluklarının üstesinden nasıl gelebileceği ele alınmaktadır. Temel bir üretken yapay zeka ajanı oluşturarak pratik yapacak, bu ajanların modeller, mantık döngüleri ve araçlar gibi bileşenlerini keşfedeceksiniz.
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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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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 Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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Complete the 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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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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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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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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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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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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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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Earn the intermediate Skill Badge by completing the Connecting Cloud Networks with NCC where you will learn how to use the Network Connectivity Center to connect your on-premises, cloud enterprise networks, and hybrid networks, and manage them as spokes through a single, centralized hub on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Develop with Apps Script and AppSheet skill badge course, where you learn how to build chat bots and how to use the script editor in any document.
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Earn a skill badge by completing the 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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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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Complete the 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.
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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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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 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 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.
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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 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.
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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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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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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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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 Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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Earn a skill badge by completing the 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 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 Deploy and Manage Applications on Google App Engine course, where you learn how to use App Engine with Python, Go, and PHP.
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Earn a Skill Badge by completing the 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 Implement Event-Driven Messaging and Automation Workflows skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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Earn a skill badge by completing the 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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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.
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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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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 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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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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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 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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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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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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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 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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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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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 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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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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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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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.
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Discover how AI agents drive business impact. You’ll map agent types to your KPIs and explore use cases that solve real bottlenecks. Then, learn how Gemini Enterprise empowers you to build and orchestrate the right agents—from no-code to high-code solutions. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior.
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Gain a conceptual overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems. You’ll explore the technical architecture—models, tools, and orchestration—that enables agents to learn, plan, and achieve goals on your behalf.
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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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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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