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Sanjana Nagaraj

Membro dal giorno 2024

Campionato Oro

29335 punti
Enterprise Database Migration - SQL Server Performance Analysis and Tuning with Cloud SQL Earned giu 11, 2025 EDT
Modernize .Net Applications Earned giu 11, 2025 EDT
Developing Applications with Google Cloud: Foundations Earned giu 10, 2025 EDT
.NET Modernization Earned giu 10, 2025 EDT
Launching into Machine Learning - Italiano Earned ott 10, 2024 EDT
Natural Language Processing on Google Cloud Earned ott 10, 2024 EDT
Prompt Design in Vertex AI Earned set 20, 2024 EDT
Introduzione all'AI e al machine learning su Google Cloud Earned set 20, 2024 EDT
App Deployment, Debugging, and Performance Earned set 5, 2024 EDT
Google Cloud: Prompt Engineering Guide Earned set 5, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure - Italiano Earned set 5, 2024 EDT

Earn a DRI badge by completing the Enterprise Database Migration - SQL Server Performance Analysis and Tuning with Cloud SQL quest, where you demonstrate your capabilities of Cloud SQL Database Performance Monitoring for SQL Server, Cloud SQL Server Database Performance Analysis for SQL Server, and Cloud SQL Database Performance Tuning for SQL Server. When you complete this activity, you can earn the badge displayed above! View all the badges you have earned by visiting your profile page.

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This skill badge course is designed to offer hands-on experience through labs, enabling participants to migrate applications to the cloud using a "Rehost" strategy. Participants will learn essential tasks involved in migrating both frontend (.Net application) and backend (MySQL database) components to existing virtual machines. Through guided and challenge labs, participants will validate successful migrations, reinforcing their understanding of cloud application modernization concepts.

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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.

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This learning path aims to upskill Google Cloud partners to perform the specific tasks associated with the priority workload. Learners will discover the specific tasks in rehosting applications from on-premises to Google Cloud. It also aims to re-platform applications to run in GKE. Learners will perform the tasks of Migrating MySQL, Angular, and .NET applications from their on-premises machines to Google Cloud VM instances. Sample code will be used during the migration. Learners will complete a challenge lab that focuses on the critical steps in a rehosting exercise - copying over code for the back-end, front-end, and middle-tier applications and validating that the applications have been migrated correctly. Learners will also complete a challenge lab that focuses on the critical steps in a re-platforming exercise - creating back-end, front-end, and middle-tier Docker images, deploying the same in the GKE cluster, and validating that the application has been deployed correctly.

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Il corso inizia con una discussione sui dati: come migliorare la qualità dei dati ed eseguire analisi esplorative dei dati. Descriveremo Vertex AI AutoML e come creare, addestrare ed eseguire il deployment di un modello di ML senza scrivere una sola riga di codice. Comprenderai i vantaggi di Big Query ML. Discuteremo quindi di come ottimizzare un modello di machine learning (ML) e di come la generalizzazione e il campionamento possano aiutare a valutare la qualità dei modelli di ML per l'addestramento personalizzato.

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This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.

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Questo corso presenta le offerte di intelligenza artificiale (AI) e machine learning (ML) su Google Cloud per la creazione di progetti di AI predittiva e generativa. Esplora le tecnologie, i prodotti e gli strumenti disponibili durante tutto il ciclo di vita data-to-AI, includendo le basi, lo sviluppo e le soluzioni di AI. Ha lo scopo di aiutare data scientist, sviluppatori di AI e ML engineer a migliorare le proprie abilità e conoscenze attraverso attività di apprendimento coinvolgenti ed esercizi pratici.

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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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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.

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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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