Google Cloud Courses

Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

14 ratings at Coursera

Google Cloud Professional Data Engineer試験対策：データ処理システムの設計、構築、運用化、機械学習モデルの実装、セキュリティ対策など、重要スキルを13時間で習得。

• Coursera
• 13 hours 10 minutes
• Self-Paced
• Paid Course

Career Certificate

From Data to Insights with Google Cloud 日本語版

13 ratings at Coursera

Google Cloud上でビッグデータを効率的に処理・分析する方法を学習。BigQueryを使用したデータマイニング、可視化、クエリ最適化などを実践的に習得し、スケーラブルなデータソリューションの構築スキルを養成。

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Scaling with Google Cloud Operations - 日本語版

14 ratings at Coursera

Google Cloud Operations を使用して、クラウドの運用、信頼性、レジリエンスの基本概念を学び、クラウドリソースの効果的な管理とスケーリング方法を理解します。

• Coursera
• 1 hour 21 minutes
• Self-Paced
• Paid Course

Deploy a Modern Web App connected to a Cloud Spanner Instance

14 ratings at Coursera

Build and deploy a Node.js stock price visualization tool connected to Cloud Spanner, utilizing Google Charts for data rendering in the Google Cloud environment.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Cloud Spanner - Defining Schemas and Understanding Query Plans

14 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. In this lab you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates…

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Career Certificate

Google Cloud Digital Leader - Français

14 ratings at Coursera

Acquérez des compétences cloud, explorez les cas d'utilisation professionnels et découvrez comment les solutions Google Cloud peuvent aider les entreprises à se transformer numériquement.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Google Cloud Digital Leader Training בעברית

14 ratings at Coursera

הכשרה מקיפה בעברית לפיתוח מיומנויות בטכנולוגיית ענן, תרחישים עסקיים, ופתרונות Google Cloud לתמיכה בטרנספורמציה דיגיטלית וחדשנות ארגונית.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

ETL Processing on Google Cloud Using Dataflow and BigQuery

14 ratings at Coursera

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build several Data Pipelines that will ingest data from a publicly available dataset into BigQuery.

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

Career Certificate

Creating a Business Value with Data and Looker 日本語版

14 ratings at Coursera

Lookerを活用したデータ分析・可視化スキルを習得し、LookMLでビジネス価値を創出するモデリング手法を学ぶ。クラウドデータ管理の基礎から実践的なLooker開発まで網羅的に学習。

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Introduction to Data Analytics on Google Cloud

14 ratings at Coursera

Learn to analyze data on Google Cloud using BigQuery for exploration and Looker for visualization. Gain hands-on experience with real-world datasets and create impactful dashboards to share insights.

• Coursera
• 4 hours 33 minutes
• Self-Paced
• Paid Course

Connect an App to a Cloud SQL for PostgreSQL Instance

13 ratings at Coursera

Deploy a Kubernetes application and connect it to a Cloud SQL PostgreSQL database, demonstrating seamless integration between containerized apps and managed databases on Google Cloud.

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

Streaming HL7 to FHIR Data with Healthcare API

14 ratings at Coursera

Explore Cloud Healthcare API features to stream HL7v2 messages, convert to FHIR, and import into BigQuery for analytics in this hands-on Google Cloud lab.

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

Classify Images of Clouds in the Cloud with AutoML Vision

13 ratings at Coursera

Train a custom image recognition model to identify cloud types using AutoML Vision, no ML expertise required. Hands-on lab in Google Cloud console.

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

Build AI Agents with Agent Platform and Flutter

12 ratings at Coursera

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.

• Coursera
• 4 hours 21 minutes
• Self-Paced
• Paid Course

Integrate Applications with Gemini on Google Cloud

11 ratings at Coursera

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.

• Coursera
• 2 hours 35 minutes
• Self-Paced
• Paid Course