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Prathyusha Akkireddy

Member since 2026

Silver League

1556 points
Google Cloud Agent Governance and Security Earned ספט 14, 2026 EDT
Secure Enterprise AI Agents Earned ספט 14, 2026 EDT
Build Collaborative Multi-Agent Systems with ADK & MCP Earned ספט 14, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Command Line Earned ספט 14, 2026 EDT
Develop Serverless Applications on Cloud Run Earned ספט 14, 2026 EDT
Arcade Voyage: App Modernization Earned ספט 14, 2026 EDT
Deploy and Manage Applications on Google App Engine Earned ספט 14, 2026 EDT
Create a Secure Data Lake on Cloud Storage Earned ספט 14, 2026 EDT
Arcade Trail: Data Engineering and Security Earned ספט 14, 2026 EDT
Create a Streaming Data Lake on Cloud Storage Earned ספט 12, 2026 EDT
Implement CI/CD Pipelines on Google Cloud Earned אוג 29, 2026 EDT
Arcade Trail: Cloud Delivery Systems Earned אוג 29, 2026 EDT
Develop with Apps Script and AppSheet Earned אוג 29, 2026 EDT
Use Functions, Formulas, and Charts in Google Sheets Earned אוג 26, 2026 EDT
Arcade Voyage: Google Sheets Earned אוג 26, 2026 EDT
Organize and Govern Data with Knowledge Catalog Earned אוג 26, 2026 EDT
Share Data Using Google Data Cloud Earned אוג 23, 2026 EDT
Arcade Adventure: Data Vault Earned אוג 23, 2026 EDT
Manage Kubernetes in Google Cloud Earned אוג 23, 2026 EDT
Store, Process, and Manage Data on Google Cloud - Console Earned אוג 21, 2026 EDT
Arcade Re-Trail: Vaults & Vectors Earned אוג 21, 2026 EDT
Implement Cloud Storage and Data Protection Solutions Earned אוג 21, 2026 EDT
Monitoring in Google Cloud Earned אוג 8, 2026 EDT
Arcade Base Camp August 2026 Earned אוג 8, 2026 EDT
Analyze Sentiment with Natural Language API Earned אוג 5, 2026 EDT
App Building with AppSheet Earned יול 31, 2026 EDT
Build a Data Warehouse with BigQuery Earned יול 24, 2026 EDT

As enterprise teams transition to autonomous AI agents, security evolves toward proactive, identity-centric protection. In this course, you will implement a zero-trust security architecture for Cymbal Banking's underwriting platform using the Gemini Enterprise Agent Platform. By deploying a regional Egress Agent Gateway, configuring Model Armor and Semantic Governance (SGP) safety templates, assigning cryptographic SPIFFE identities to agent runtimes, and declaring a VPC-SC perimeter in Terraform, you will protect database boundaries and manage tools with production-grade governance.

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Learn how to secure and govern AI agents on Google Cloud. This course provides a practical roadmap to securing agent memory, enforcing strict access controls with IAM and VPC Service Controls, and deploying real-time conversation guardrails to ensure safe, compliant enterprise deployments. Explore other content in the Gemini Agent Ready (GEAR) program.

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Learn to design, coordinate, and deploy multi-agent systems using Google’s Agent Development Kit (ADK) and the Model Context Protocol (MCP). Using a travel concierge example, you'll learn to orchestrate a network of specialized agents with custom guardrails. By the end of the course, you'll understand the design patterns and deployment strategies required for robust, scalable AI workflows. Explore other content in the Gemini Agent Ready (GEAR) program.

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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.

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

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Great 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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Earn a Skill Badge by completing the Deploy and Manage Applications on Google App Engine course, where you learn how to use App Engine with Python, Go, and PHP.

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Complete the 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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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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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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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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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 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 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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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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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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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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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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Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.

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Complete the intermediate 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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