Google Cloud Courses

Elastic Cloud Infrastructure: Scaling and Automation - 简体中文

这是一套自助式速成课程，向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务。学员将通过一系列视频讲座、演示和实操实验，探索和部署各种解决方案元素，包括安全互连网络、负载均衡、自动扩缩、基础架构自动化和代管式服务。

• Coursera
• 7 hours 5 minutes
• Self-Paced
• Paid Course

開始使用 Google Kubernetes Engine

深入探討Google Kubernetes Engine，學習容器化應用程式並在Google Cloud上運行。掌握GKE基礎知識，從雲端運算到Kubernetes架構和操作，全面提升技能。

• Coursera
• 6 hours 2 minutes
• Self-Paced
• Paid Course

Machine Learning in the Enterprise - Português Brasileiro

Aprenda fluxo de trabalho de ML empresarial, governança de dados, criação de modelos e práticas recomendadas usando ferramentas Google Cloud como Vertex AI, AutoML e BigQuery ML.

• Coursera
• 17 hours 50 minutes
• Self-Paced
• Paid Course

Machine Learning in the Enterprise - Français

Approche pratique du workflow ML en entreprise : gestion des données, création de modèles et bonnes pratiques avec Google Cloud, incluant AutoML, BigQuery ML et l'entraînement personnalisé.

• Coursera
• 17 hours 47 minutes
• Self-Paced
• Paid Course

Essential Google Cloud Infrastructure: Foundation - 简体中文

这门自助式速成课程向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务，其中着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验，探索和部署各种解决方案元素，包括网络、虚拟机和应用服务等基础架构组件。您将学习如何通过控制台和 Cloud Shell 使用 Google Cloud。您还将了解云架构师角色、基础架构设计方法以及虚拟网络配置和虚拟私有云（VPC）、项目、网络、子网、IP 地址、路由及防火墙规则。

• Coursera
• 8 hours 13 minutes
• Self-Paced
• Paid Course

Architecting with Google Kubernetes Engine: Foundations 简体中文

在本课程“Google Kubernetes Engine 架构设计：基础知识”中，您将了解 Google Cloud 的概况和原理，然后学习如何创建和管理软件容器，以及了解 Kubernetes 的架构。 这是“Google Kubernetes Engine 架构设计”系列课程的第一门课程。完成本课程后，请报名参加“Google Kubernetes Engine 架构设计：工作负载”课程。

• Coursera
• 8 hours 42 minutes
• Self-Paced
• Paid Course

Enhancing User Interactivity in Looker with Liquid

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Troubleshooting Data Models in Looker

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to troubleshoot and diagnose LookML code

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Employing Best Practices for Improving the Usability of LookML Projects

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to improve the usability and sustainability of LookML projects.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Introduction to Convolutions with TensorFlow

Learn to process images using convolutions and pooling in TensorFlow, extracting key features and compressing data for improved image analysis and feature detection.

• Coursera
• 50 minutes
• Self-Paced
• Paid Course

Create a Cosmetic Anomaly Detection Model using Visual Inspection AI

This is a self-paced lab that takes place in the Google Cloud console. Create a Cosmetic Anomaly Detection Model using Visual Inspection AI

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Architecting with Google Kubernetes Engine: Foundations - 繁體中文

"在 「Google Kubernetes Engine 架構：基礎知識」的課程中，您將復習 Google Cloud 的配置和原則，接著是建立和管理軟體容器簡介和 Kubernetes 架構簡介。 這是 Google Kubernetes Engine 架構系列中的第一項課程。完成此課程後，請註冊 Google Kubernetes Engine 架構：工作負載課程。"

• Coursera
• 7 hours 40 minutes
• Self-Paced
• Paid Course

Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

Aprenda a criar pipelines de dados, desenvolver modelos de ML com TensorFlow e Keras, e melhorar a acurácia em escala usando o Google Cloud. Aborda desde conceitos básicos até técnicas avançadas.

• Coursera
• 13 hours 8 minutes
• Self-Paced
• Paid Course

Scale VM-Series to secure Google Cloud Networks

This is a self-paced lab that takes place in the Google Cloud console. Secure Google Cloud hub-and-spoke topology with VM-Series at scale.

• Coursera
• 55 minutes
• Self-Paced
• Paid Course

Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

このコースでは、TensorFlow 2.x 入力データ パイプラインの設計と構築、TensorFlow 2.x と Keras を使用した ML モデルの構築、ML モデルの精度の改善、スケーリングに対応した ML モデルの作成、特殊な ML モデルの作成について説明します。

• Coursera
• 12 hours 23 minutes
• Self-Paced
• Paid Course