Chimaobi Prince
Membro dal giorno 2020
Campionato Argento
33933 punti
Build Your First Agent with Agent Development Kit (ADK)
Earned mag 3, 2026 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned apr 29, 2026 EDT
Create Your First Gemini Enterprise Application
Earned apr 19, 2026 EDT
Enterprise Agents and Use Cases
Earned apr 19, 2026 EDT
Agent Fundamentals
Earned apr 16, 2026 EDT
Introduction to AI Agents
Earned mar 31, 2026 EDT
Select a Google Cloud Database for Your Applications
Earned nov 5, 2025 EST
Boost Productivity with Gemini in BigQuery
Earned ott 10, 2025 EDT
Analyze and Reason on Multimodal Data with Gemini
Earned ott 8, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned ott 7, 2025 EDT
[DEPRECATED] Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned ott 6, 2025 EDT
Secure Software Delivery
Earned set 30, 2025 EDT
Implement Sensitive Data Protection on Google Cloud
Earned set 26, 2025 EDT
Google Developer Essentials
Earned set 25, 2025 EDT
Use Machine Learning APIs on Google Cloud
Earned set 25, 2025 EDT
Workspace: Add-ons
Earned set 24, 2025 EDT
[DEPRECATED] Gemini for Data Scientists and Analysts
Earned set 24, 2025 EDT
The Basics of Google Cloud Compute
Earned set 22, 2025 EDT
Implement Speech and Language Solutions with Pre-trained APIs
Earned set 22, 2025 EDT
Enhance Gemini Model Capabilities
Earned set 20, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned set 19, 2025 EDT
Prompt Design in Agent Platform
Earned set 19, 2025 EDT
Networking in Google Cloud: Fundamentals
Earned ago 27, 2025 EDT
Observability in Google Cloud
Earned ago 26, 2025 EDT
Crea l'infrastruttura con Terraform su Google Cloud
Earned ago 26, 2025 EDT
Sviluppa la tua rete Google Cloud
Earned ago 26, 2025 EDT
Getting Started with Terraform for Google Cloud
Earned ago 14, 2025 EDT
Logging and Monitoring in Google Cloud
Earned lug 31, 2025 EDT
Introduzione a Google Kubernetes Engine
Earned lug 21, 2025 EDT
Infrastruttura Google Cloud elastica: scalabilità e automazione
Earned giu 29, 2025 EDT
Infrastruttura Google Cloud di base: servizi principali
Earned giu 14, 2025 EDT
Infrastruttura Google Cloud di base: fondamenti
Earned mag 5, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure - Italiano
Earned apr 1, 2025 EDT
Build a Certification Study Guide: ACE Exam Prep
Earned mar 19, 2025 EDT
Prepara i dati per le API ML su Google Cloud
Earned mar 9, 2025 EDT
Creazione di una rete Google Cloud sicura
Earned mar 9, 2025 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
Earned mar 3, 2025 EST
Google Cloud Computing Foundations: Networking & Security in Google Cloud
Earned feb 2, 2025 EST
Configura un ambiente di sviluppo di app su Google Cloud
Earned gen 31, 2025 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Earned gen 30, 2025 EST
Implementazione di Cloud Load Balancing per Compute Engine
Earned gen 28, 2025 EST
[DEPRECATED]- Google Cloud Computing Foundations: Cloud Computing Fundamentals - Italiano
Earned gen 28, 2025 EST
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 Gemini platform.
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
Explore other content in the Gemini Agent Ready (GEAR) program.
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This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
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Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Agent Ready (GEAR) program.
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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 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.
Explore other content in the Gemini Agent Ready (GEAR) program.
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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 to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud. You explore relational and NoSQL databases, dive into Cloud SQL, AlloyDB, and Spanner, and learn how to align database strengths with your application requirements, including those of generative AI. Gain hands-on experience configuring Vector Search and migrating applications to the cloud.
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This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
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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 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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In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.
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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 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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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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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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This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
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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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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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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 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 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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Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.
This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques.
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Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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Completa il corso intermedio con badge delle competenze Crea l'infrastruttura con Terraform su Google Cloud per dimostrare le tue competenze nei seguenti ambiti: principi di Infrastructure as Code (IaC) utilizzando Terraform, provisioning e gestione di risorse Google Cloud con configurazioni Terraform, gestione efficace dello stato (locale e remoto) e modularizzazione del codice Terraform per la riusabilità e l'organizzazione.
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Guadagna un badge delle competenze completando il corso Sviluppa la tua rete Google Cloud, in cui apprenderai diversi modi per eseguire il deployment e il monitoraggio delle applicazioni, tra cui: esplorare i ruoli IAM e aggiungere/rimuovere l'accesso ai progetti, creare reti VPC, eseguire il deployment e il monitoraggio delle VM di Compute Engine, scrivere query SQL, eseguire il deployment e il monitoraggio delle VM in Compute Engine ed eseguire il deployment delle applicazioni utilizzando Kubernetes con più approcci al deployment.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
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Ti diamo il benvenuto nel corso Introduzione a Google Kubernetes Engine. Se ti interessa Kubernetes, un livello software che si trova tra le tue applicazioni e la tua infrastruttura hardware, allora sei nel posto giusto. Google Kubernetes Engine ti offre Kubernetes come servizio gestito su Google Cloud.
L'obiettivo di questo corso è illustrare le nozioni di base di Google Kubernetes Engine, o GKE, come viene comunemente chiamato, e come containerizzare le applicazioni e farle funzionare su Google Cloud. Il corso inizia con un'introduzione di base a Google Cloud, seguita da una panoramica dei container e di Kubernetes, dell'architettura di Kubernetes e delle operazioni di Kubernetes.
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Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura completa e flessibile e i servizi di piattaforma forniti da Google Cloud. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui interconnessione sicura delle reti, bilanciamento del carico, scalabilità automatica, automazione dell'infrastruttura e servizi gestiti.
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Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura e i servizi di piattaforma flessibili e completi di Google Cloud con particolare attenzione a Compute Engine. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui i componenti dell'infrastruttura come reti, sistemi e servizi per applicazioni, ed eseguirne il deployment. Questo corso tratta inoltre del deployment di soluzioni pratiche quali, ad esempio, chiavi di crittografia fornite dal cliente, gestione di sicurezza e accessi, quote e fatturazione, monitoraggio delle risorse.
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Questo corso accelerato on demand illustra ai partecipanti l'infrastruttura e i servizi di piattaforma flessibili e completi di Google Cloud con particolare attenzione a Compute Engine. Attraverso una combinazione di videolezioni, demo e lab pratici, i partecipanti potranno esplorare gli elementi delle soluzioni, tra cui i componenti dell'infrastruttura come reti, macchine virtuali e servizi per applicazioni, ed eseguirne il deployment. Imparerai a utilizzare Google Cloud mediante la console e Cloud Shell. Scoprirai inoltre il ruolo del Cloud Architect, gli approcci alla progettazione dell'infrastruttura e la configurazione del networking virtuale con VPC (Virtual Private Cloud), progetti, reti, subnet, indirizzi IP, route e regole firewall.
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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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Learn how to use Gemini Notebook to create a personalized study guide for the Associate Cloud Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook , and learn how to use a study guide to practice for a certification exam.
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Ottieni il corso intermedio con badge delle competenze Prepara i dati per le API ML su Google Cloud per dimostrare le tue competenze nei seguenti ambiti: pulizia dei dati con Dataprep di Trifacta, esecuzione delle pipeline di dati in Dataflow, creazione dei cluster ed esecuzione dei job Apache Spark in Managed Service for Apache Spark e richiamo delle API ML tra cui l'API Cloud Natural Language, l'API Google Cloud Speech-to-Text e l'API Video Intelligence.
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Guadagna un badge delle competenze completando il corso Creazione di una rete Google Cloud sicura, in cui scoprirai più risorse di networking per creare, scalare e proteggere le tue applicazioni su Google Cloud.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the series reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud further by earning Skill Badges.
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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This third course covers cloud automation and management tools and building secure networks.
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Ottieni un badge delle competenze completando il corso Configura un ambiente di sviluppo di app su Google Cloud, in cui imparerai a creare e connettere un'infrastruttura cloud incentrata sull'archiviazione utilizzando le funzionalità di base delle seguenti tecnologie: Cloud Storage, Identity and Access Management, Cloud Functions e Pub/Sub.
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Il corso Google Cloud Computing Foundations fornirà a chi ha poca o nessuna esperienza
di cloud computing una panoramica dettagliata dei concetti relativi alle nozioni di base
del cloud, ai big data e al machine learning, oltre che a dove e come Google Cloud si inserisce.
Alla fine del corso, i partecipanti saranno in grado di descrivere i concetti relativi al cloud computing,
ai big data e al machine learning e dimostrare delle competenze pratiche.
Questo corso fa parte della serie di corsi Google Cloud Computing Foundations.
I corsi dovrebbero essere completati nel seguente ordine:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Questo secondo corso esamina l'implementazione di modelli …
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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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Il corso Google Cloud Computing Foundations fornirà a chi ha poca o nessuna esperienza
di cloud computing una panoramica dettagliata dei concetti relativi alle nozioni di base
del cloud, ai big data e al machine learning, oltre che a dove e come Google Cloud si inserisce.
Alla fine del corso, i partecipanti saranno in grado di descrivere questi concetti e dimostrare delle competenze pratiche.
Questo corso fa parte della serie di corsi Google Cloud Computing Foundations.
I corsi dovrebbero essere completati nel seguente ordine:
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Google Cloud Computing Foundations: Infrastructure in Google Cloud - Locales
Google Cloud Computing Foundations: Networking and Security in Google Cloud - Locales
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
Questo primo corso fornisce una panoramica del cloud computing, dei modi per utilizzare Google Cloud e
diverse opzio…
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