Ivan Churakov
Membro dal giorno 2022
Campionato Argento
1436 punti
Accelerate Agent Development with Antigravity and Agents CLI
Earned ago 17, 2026 EDT
Deploy an Agent with Agent Development Kit (ADK)
Earned mag 26, 2026 EDT
Deploy Multi-Agent Systems with Gemini Enterprise Agent Platform
Earned mag 26, 2026 EDT
[DEPRECATED] Deploying Applications
Earned feb 7, 2022 EST
Cloud Development
Earned feb 4, 2022 EST
Implementazione di Cloud Load Balancing per Compute Engine
Earned feb 3, 2022 EST
Architecting with Google Kubernetes Engine: Production - Italiano
Earned feb 2, 2022 EST
Architecting with Google Kubernetes Engine: Workloads - Italiano
Earned gen 31, 2022 EST
Progettazione dell'architettura con Google Kubernetes Engine: fondamenti
Earned gen 26, 2022 EST
App Deployment, Debugging, and Performance
Earned gen 25, 2022 EST
Securing and Integrating Components of your Application
Earned gen 25, 2022 EST
Getting Started With Application Development
Earned gen 23, 2022 EST
Google Cloud Fundamentals: Core Infrastructure - Italiano
Earned gen 20, 2022 EST
In this course, you’ll learn to simplify the creation of autonomous enterprise agents using the Agent Development Kit (ADK) and you will learn how to leverage the power of Antigravity and the Agents CLI to transform your agent development workflow. In this course. You will explore practical techniques to automate repetitive tasks and significantly accelerate the creation of robust, enterprise-grade agents, ensuring scalability and efficiency in your AI projects.
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In this challenge lab, you will demonstrate your ability to author agents using Agent Development Kit (ADK), deploy those agents to Agent Engine, and use them from a web app. Complete the challenge lab to earn a Google Cloud skill badge.
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In this course, you’ll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Agent Runtime on Gemini Enterprise Agent Platform to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Runtime.
Please note these labs are based off a pre-released version of this product. There may be some lag on these labs as we provide maintenance updates.
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The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.
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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
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Completa il corso introduttivo con badge delle competenze Implementazione di Cloud Load Balancing per Compute Engine per dimostrare le tue competenze nei seguenti ambiti: creazione ed esecuzione del deployment di macchine virtuali in Compute Engine e configurazione di bilanciatori del carico di rete e delle applicazioni.
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In questo corso, "Architecting with Google Kubernetes Engine: Production", imparerai a conoscere la sicurezza di Kubernetes e Google Kubernetes Engine (GKE), logging e monitoraggio e a utilizzare i servizi di archiviazione e database gestiti di Google Cloud dall'interno di GKE.
Si tratta del corso finale della serie Architecting with Google Kubernetes Engine. Dopo il completamento di questo corso, iscriviti al corso Reliable Google Cloud Infrastructure: Design and Process o al corso Hybrid Cloud Infrastructure Foundations with Anthos.
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In questo corso, "Architecting with Google Kubernetes Engine: Workloads", imparerai come eseguire le operazioni Kubernetes, creare e gestire i deployment, quali sono gli strumenti di networking di GKE e come fornire archiviazione permanente ai tuoi carichi di lavoro Kubernetes.
Questo è il secondo corso della serie Architecting with Google Kubernetes Engine. Dopo il completamento di questo corso, iscriviti al corso Reliable Google Cloud Infrastructure: Design and Process o al corso Hybrid Cloud Infrastructure Foundations with Anthos.
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In questo corso, "Progettazione dell'architettura con Google Kubernetes Engine: fondamenti", troverai un ripasso del layout e dei principi di Google Cloud, seguito da un'introduzione alla creazione e alla gestione dei container software, nonché all'architettura di Kubernetes.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer. This is the second course of the Developing Applications with Google Cloud series. After completing this course, enroll in the App Deployment, Debugging, and Performance course.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.
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Google Cloud Fundamentals: Core Infrastructure introduce concetti e terminologia importanti per lavorare con Google Cloud. Attraverso video e lab pratici, questo corso presenta e confronta molti dei servizi di computing e archiviazione di Google Cloud, insieme a importanti strumenti di gestione delle risorse e dei criteri.
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