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Explora la transformación digital y la nube: conceptos, beneficios, desafíos y modelos de servicio. Aprende a impulsar el futuro de tu empresa con tecnología cloud.
Master AI infrastructure design and deployment using Google Cloud's Hypercomputer, GPUs, TPUs, and Kubernetes Engine to build high-performance ML solutions with optimized storage and networking.
Explora los modelos de lenguaje grandes: casos de uso, ajuste de instrucciones y herramientas de Google para desarrollar aplicaciones de IA generativa.
Master Google Cloud's security ecosystem, from AI security frameworks and autonomic operations to vulnerability management, SecOps engineering, and automating incident response with SIEM and SOAR.
Develop a simple two-page app showcasing Flutter basics, exploring its popularity among developers through hands-on practice in Google Cloud console.
This is a self-paced lab that takes place in the Google Cloud console. Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.
Aprenda a criar, treinar e implantar modelos de machine learning usando TensorFlow 2.x e Keras. Explore pipelines de dados, APIs Keras e implantação em escala com o Google Cloud AI Platform.
Aprenda a modernizar data lakes e warehouses no Google Cloud, explorando soluções como Cloud Storage e BigQuery, e entenda o papel crucial do engenheiro de dados em ambientes de nuvem.
クラウド技術とデジタルトランスフォーメーションの基本を学び、ビジネス成長に役立てる方法を解説。企業が直面する課題と機会も紹介。
Learn to migrate MySQL data from Amazon RDS to Cloud SQL using Database Migration Service, including setup, execution, and verification of successful data transfer.
Unlock data's potential through captivating visualizations. Transform raw numbers into compelling stories, master design principles, and create impactful dashboards that drive actionable insights and decision-making.
Aprende a implementar capacidades como organización de datos, seguridad, acciones e integraciones en tu app con AppSheet. Mejora el rendimiento, gestiona y soluciona problemas de tu app.
Learn to monitor, troubleshoot, optimize, test, and deploy Dataflow pipelines. Master operational tools and best practices for reliable serverless data processing on Google Cloud.
Learn to deploy and transform a monolithic application into microservices using Google Kubernetes Engine, enhancing scalability and maintainability.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.
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