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Cloud courses

Cloud courses teach you about the architecture, deployment, and management of cloud computing services. Build your skills in technologies such as Azure, AWS and Google Cloud.

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Recommended for Cloud beginners

Build your Cloud skills with interactive courses, curated by real-world experts

コース

クラウドコンピューティングの理解

基本スキルレベル
4.8+
9,244件のレビュー
2 時間
クラウドコンピューティングの非コーディング入門書。主要な概念、用語、およびツールについて解説します。

トラック

Microsoft Azure の基礎 (AZ-900)

4.8+
72件のレビュー
9 時間
Microsoft の Azure Fundamentals 認定資格（AZ-900）に向けて、Azure の基礎であるコンピューティング、ストレージ、ネットワーキングを学びます。

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コース

Google Workspace End User: Google Slides

基本スキルレベル
5
7件のレビュー
8.5 時間
With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.

コース

Architecting with Google Kubernetes Engine: Workloads

中級スキルレベル
4.8+
5件のレビュー
2.5 時間
Deploy and manage Kubernetes workloads on GKE. Cover networking, deployments, jobs, persistent storage, and data management in production environments.

コース

Preparing for your Professional Data Engineer Journey

上級スキルレベル
5
2件のレビュー
3.2 時間
Prepare for the Google Cloud Professional Data Engineer certification with diagnostic questions covering migration, storage, analytics, and automation.

コース

Architecting with Google Kubernetes Engine: Production

中級スキルレベル
4.7+
4件のレビュー
3.5 時間
Secure and monitor GKE production environments. Learn access control, logging, monitoring, CI/CD pipelines, and managed storage integration on Google Cloud.

コース

Manage Scalable Workloads in GKE

上級スキルレベル
4.3+
3件のレビュー
7.333333333333333 時間
Scale and manage multi-cluster GKE environments. Master fleets, Cloud Service Mesh, identity management, CI/CD at scale, and GKE Enterprise capabilities.

コース

Introduction to Data Engineering on Google Cloud

基本スキルレベル
4.7+
4件のレビュー
3.683333333333333 時間
Learn the data engineering role on Google Cloud. Explore data sources, storage solutions, ETL/ELT architectures, BigQuery, Dataform, and Dataproc.

コース

Serverless Data Processing with Dataflow: Operations

上級スキルレベル
5
2件のレビュー
4.216666666666667 時間
Operate Dataflow pipelines in production. Learn monitoring, logging, troubleshooting, performance tuning, CI/CD, reliability, and templates.

コース

Build Streaming Data Pipelines on Google Cloud

中級スキルレベル
5
2件のレビュー
3.533333333333333 時間
Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.

コース

Build Data Lakes and Data Warehouses on Google Cloud

中級スキルレベル
5
3件のレビュー
3.8 時間
Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.

コース

Build Batch Data Pipelines on Google Cloud

中級スキルレベル
5
3件のレビュー
2.1 時間
Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

コース

Boost Productivity with Gemini in BigQuery

基本スキルレベル
5
2件のレビュー
1.3833333333333333 時間
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

コース

Work with Gemini Models in BigQuery

中級スキルレベル
4.6+
3件のレビュー
1 時間
Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

Cloud に関連するリソース

ブログ

The 5 Best Cloud Certifications to Kick-Start Your Career in 2025

Explore the best cloud certifications for 2025 in our comprehensive guide. Discover how certifications like AWS, Azure, and CompTIA Cloud+ can boost your career.
Matt Crabtree's photo

Matt Crabtree

9 分

ブログ

AWS Cloud Practitioner Salaries Explained: Skills, Demand, and Career Growth

Explore AWS Cloud Practitioner salaries and learn how certification opens doors to high-demand careers and competitive rates.
Nisha Arya Ahmed's photo

Nisha Arya Ahmed

6 分

ブログ

Google Cloud for Data Scientists: Harnessing Cloud Resources for Data Analysis

How can using Google Cloud make data analysis easier? We explore examples of companies that have already experienced all the benefits.
Oleh Maksymovych's photo

Oleh Maksymovych

9 分

Frequently asked questions

What are the benefits of learning cloud computing?

Learning cloud computing can lead to opportunities in numerous fast-growing fields like data analytics, machine learning, cybersecurity, and application development, all of which increasingly rely on cloud-based solutions.

What kind of practical skills can I expect to gain from a cloud course?

You can expect to learn how to manage cloud infrastructure, develop and deploy applications, ensure data security in cloud environments, and optimize cloud resource usage among other skills.

Who should take cloud courses?

Anyone interested in a career involving cloud computing, IT professionals looking to upgrade their skills, or business leaders needing to understand the impact and implementation of cloud solutions should consider taking cloud courses.

What types of certifications can I pursue through cloud courses?

You can pursue various cloud certifications such as AWS Certified Cloud Practitioner, Google Certified Professional Cloud Architect, and Microsoft Certified: Azure Fundamentals, depending on the cloud service provider covered in the course.

How often are DataCamp’s cloud courses updated?

We regularly update our courses to ensure they reflect the latest advancements and changes in each cloud technology.

What is the best way to start learning about cloud computing?

If you’re learning about cloud computing from scratch, our Understanding Cloud Computing course provides a no-coding introduction to key cloud concepts, terminology and tools.

Are there any prerequisites for enrolling in cloud courses?

Non-introductory courses have prerequisites, which are outlined on each course page. Our introductory courses, such as the Introduction to AWS course, are completely beginner friendly.

What are the main cloud platforms?

The main cloud platforms are Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Platform.

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