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Transforming Digital Learning: Learning Design Meets Service Design
Best Practices for Biomedical Research Data Management (HE)
Fundamentals of Reinforcement Learning
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Preparação abrangente para o exame de Arquiteto de Nuvem do Google, abordando habilidades essenciais, conceitos-chave e práticas hands-on. Inclui estudos de caso, simulados e estratégias personalizadas de estudo.
Aprenda a incorporar machine learning em pipelines de dados no Google Cloud, explorando AutoML, AI Platform Notebooks, BigQuery ML e Kubeflow para extrair insights valiosos e criar soluções personalizadas.
Découvrez les lacs et entrepôts de données sur Google Cloud, leurs cas d'utilisation et les avantages pour les opérations commerciales. Apprenez le rôle des ingénieurs de données et l'importance du cloud dans ce domaine.
Découvrez les technologies Google Cloud pour moderniser l'infrastructure IT, optimiser le développement d'applications, exploiter l'IA et le ML, améliorer la productivité et gérer les coûts lors de la transformation numérique.
TensorFlow 2.xとKerasを使用して機械学習モデルを作成、トレーニング、デプロイする方法を学びます。データ処理、モデル構築、最適化技術を実践的に習得し、Cloud AI Platformでの大規模展開も扱います。
Prepare-se para o exame Associate Cloud Engineer do Google Cloud, aprendendo sobre domínios essenciais e criando um plano de estudos eficaz para aprimorar seus conhecimentos.
This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the Google Cloud Console.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will configure and test point-in-time recovery for a Cloud SQL for PostgreSQL instance.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
Learn to build and deploy serverless applications on Cloud Run, covering fundamentals, resource management, security, local development, and integration with other Google Cloud services.
Explora cómo la IA y el aprendizaje automático pueden transformar procesos empresariales. Aprende conceptos fundamentales y opciones de Google Cloud para crear modelos de AA.
Develop a Flutter app integrated with Gemini AI models using Vertex AI. Learn to build and manage AI agents for production-ready generative AI applications.
Discover Gemini API and integrate generative AI models into applications. Learn to access and test Gemini 1.0 Pro capabilities with text, image, and video prompts using Streamlit.
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