Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
詳細
Google Cloud での DevOps ワークフローの実装 コースの中級スキルバッジを獲得できるアクティビティを修了すると、 Cloud Source Repositories を使用した Git リポジトリの作成、 Google Kubernetes Engine（GKE）上でのデプロイのリリース、管理、スケール、 コンテナ イメージのビルドと GKE へのデプロイを自動化する CI / CD パイプラインの設計といったスキルを実証できます。
詳細
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
詳細
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
クラウド エンジニアリング
Earned 4月 11, 2023 EDT
Data Catalog Fundamentals
Earned 4月 11, 2023 EDT
Google Cloud での Kubernetes アプリケーションのデプロイ
Earned 4月 4, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned 4月 4, 2023 EDT
Google Cloud での DevOps ワークフローの実装
Earned 4月 4, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned 4月 4, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned 4月 4, 2023 EDT
Firebase を使用したサーバーレス アプリの開発
Earned 4月 4, 2023 EDT
Google Cloud でのウェブサイトの構築
Earned 4月 3, 2023 EDT