Google Cloud Courses

App Deployment, Debugging, and Performance en Français

Apprenez à concevoir, développer et déployer des applications cloud natives sur Google Cloud. Maîtrisez le déploiement reproductible, le choix d'environnement et la surveillance des performances.

• Coursera
• 10 hours 29 minutes
• Self-Paced
• Paid Course

Getting Started With Application Development en Français

Apprenez à concevoir et développer des applications cloud natives intégrées aux services Google Cloud, avec des ateliers pratiques en Node.js, Python ou Java.

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

Career Certificate

Developing Applications with Google Cloud en Français

Apprenez à concevoir, développer et déployer des applications cloud natives intégrant les services Google Cloud. Maîtrisez les API de machine learning pour créer des solutions sécurisées, évolutives et intelligentes.

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

Career Certificate

Preparing for Google Cloud Certification: Cloud Developer

Gain hands-on experience with Google Cloud technologies essential for cloud-native application development, preparing you for the Cloud Developer certification.

• Coursera
• 9 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 6 courses

BigQuery Fundamentals for Redshift Professionals

Learn BigQuery essentials for Redshift pros: architecture, data modeling, IAM, ingestion, schema optimization, and SQL. Transition smoothly with comparisons to Redshift concepts and hands-on practice.

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

Using the Natural Language API from Google Docs

This is a Google Cloud Self-Paced Lab. In this hands-on lab, you will use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.

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

BigQuery Fundamentals for Teradata Professionals

Learn BigQuery fundamentals, including resource provisioning, data management, and query optimization, with a focus on transitioning from Teradata to Google Cloud's data warehouse solution.

• Coursera
• 5 hours 47 minutes
• 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

Developing Applications with Cloud Run Functions on Google Cloud

In this course, you learn about Cloud Functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.

• Coursera
• 5 hours 16 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

Offloading Financial Mainframe Data into BigQuery and Elastic Search

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will import synthetic data* representing financial records offloaded from a bank’s mainframe.

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

Introduction to Vertex AI Studio

Explore Vertex AI Studio to prototype and customize generative AI models, focusing on Gemini multimodal applications, prompt design, and model tuning for unlocking AI potential in your projects.

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

Attention Mechanism

Explore the attention mechanism in neural networks, enhancing focus on specific input sequence parts for improved machine learning performance in translation, summarization, and more.

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