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Google Cloud courses

From cloud operations and infrastructure to data transformation, AI innovation, and security, build your Google Cloud skills with DataCamp. Our Google Cloud courses offer practical, expert-guided training to help you modernize applications, secure cloud environments, and scale with confidence.

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Recommended for Google Cloud beginners

Start your Google Cloud training with these interactive courses led by seasoned industry experts.

トラック

Google Cloud デジタル リーダー

4.6+
3件のレビュー
8時間
クラウドコンピューティングの知識を深めましょう。 このプログラムでGoogle Cloud Digital Leader認定試験の準備をしましょう。

コース

Innovating with Google Cloud AI

基礎スキルレベル
4.8+
188件のレビュー
1時間
Innovating with Google Cloud AI

こちらも参考にしてください。

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Google Cloudのコースとトラックを閲覧

コース

Strategies for Cloud Security Risk Management

中級スキルレベル
4.9+
14件のレビュー
21時間15分
This course is a thrilling mix of expert-led courses and immersive Google Cloud challenges through interactive labs.

コース

Model Armor: Securing AI Deployments

中級スキルレベル
5
19件のレビュー
2時間30分
This course reviews the essential security features of Model Armor and equips you to work with the service.

コース

Accelerate App Development with Gemini CLI

中級スキルレベル
4.9+
20件のレビュー
3時間
Learn about gemini CLI installation and configuration, and introduces use cases and security best practices

コース

Google Workspace End User: Google Calendar

基礎スキルレベル
4.9+
31件のレビュー
4時間45分
Learn to create and manage events, schedule meetings, share calendars, and use tasks and reminders to stay organized.

コース

Google Workspace End User: Google Drive

基礎スキルレベル
4.8+
34件のレビュー
5時間30分
Learn to upload, organize, share, and manage files and folders in Google Drive from any device.

コース

Deploy and Scale AI Models with Cloud Run

中級スキルレベル
4.9+
20件のレビュー
1時間15分
This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run.

コース

Google Workspace End User: Google Slides

基礎スキルレベル
4.9+
38件のレビュー
8時間30分
With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.

コース

Google Workspace End User: Google Docs

基礎スキルレベル
4.9+
30件のレビュー
4時間30分
Learn to create, format, and collaborate on documents in real time using Google Docs, stored securely in the cloud.

コース

Build Streaming Data Pipelines on Google Cloud

中級スキルレベル
4.8+
22件のレビュー
3時間32分
Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.

コース

Google Workspace End User: Google Meet

基礎スキルレベル
4.8+
35件のレビュー
5時間30分
Learn to schedule, host, and manage video meetings in Google Meet, including screen sharing and collaboration tools.

コース

Configure Gemini Code Assist for Organizations

中級スキルレベル
4.9+
23件のレビュー
1時間30分
The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions.

コース

Build Batch Data Pipelines on Google Cloud

中級スキルレベル
4.9+
16件のレビュー
2時間6分
Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

コース

Logging and Monitoring in Google Cloud

基礎スキルレベル
4.9+
40件のレビュー
5時間15分
This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring.

コース

Observability in Google Cloud

基礎スキルレベル
4.8+
37件のレビュー
4時間30分
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

コース

Gemini for end-to-end SDLC

中級スキルレベル
4.8+
17件のレビュー
1時間30分
With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data.

コース

Google Workspace End User: Google Chat

基礎スキルレベル
4.8+
32件のレビュー
2時間30分
Learn to message individuals and groups, collaborate in spaces, and integrate Google Chat with other Workspace apps.

コース

Boost Productivity with Gemini in BigQuery

基礎スキルレベル
4.9+
20件のレビュー
1時間23分
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

コース

Streamline App Development with Gemini Code Assist

中級スキルレベル
5
17件のレビュー
2時間
This course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud.

コース

Work with Gemini Models in BigQuery

中級スキルレベル
4.9+
20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.

コース

Architecting with Google Kubernetes Engine: Production

中級スキルレベル
4.8+
18件のレビュー
3時間30分
Secure and monitor GKE production environments. Learn access control, logging, monitoring, CI/CD pipelines, and managed storage integration on Google Cloud.

コース

Architecting with Google Kubernetes Engine: Workloads

中級スキルレベル
4.8+
21件のレビュー
2時間30分
Deploy and manage Kubernetes workloads on GKE. Cover networking, deployments, jobs, persistent storage, and data management in production environments.

Google Cloudの関連リソース

ブログ

A Guide to Google Cloud Certification in 2026

This guide provides a robust pathway for professionals to validate their expertise in cloud technology, enhance career prospects, and gain industry credibility. It will help beginners and intermediate learners understand the certification paths, their benefits, and the steps to achieving these valuable credentials.
Kurtis Pykes 's photo

Kurtis Pykes

9 分

Frequently asked questions

Do I need a Google Cloud account to take DataCamp's Google Cloud courses?

No, you don't need a Google Cloud account to take DataCamp's Google Cloud courses. Our courses are designed so you can learn and retain Google Cloud concepts without any external setup.

Do I need any prior experience to take a Google Cloud course?

No, you don't need experience to start a Google Cloud course on DataCamp. The Google Cloud Digital Leader skill track is your gateway to mastering essential concepts, common applications, and use cases. You'll go from zero knowledge to understanding what makes Google Cloud a major force in the cloud domain.

Who should take a Google Cloud course?

Google Cloud is one of the fastest-growing cloud platforms, with deep strengths in data analytics, AI, and enterprise infrastructure. Anyone interested in a career involving cloud computing, IT professionals looking to upgrade their skills, or leaders looking to upskill should consider Google Cloud courses.

What is Google Cloud used for?

Google Cloud is an online platform providing cost-effective, scalable cloud computing solutions. It offers a range of services, such as compute power, data analytics with BigQuery, storage, AI and machine learning tools, and more, to help enterprises and organizations grow at speed. As global organizations shift operations to the cloud, having a strong understanding of Google Cloud gives you an edge across industries.

Does Google Cloud require coding?

No, many Google Cloud services require no coding knowledge. As you progress you may encounter services that require some coding, such as setting up automated workflows or deploying applications, but many can be achieved using Google Cloud's console, pre-built templates, and managed services that abstract away the underlying code.

Is Google Cloud difficult to learn?

No, Google Cloud's intuitive platform has a naturally low barrier to entry, meaning you don't need coding or programming skills to get started. Beginning with key concepts and applications, you can work your way through DataCamp's Google Cloud curriculum with no prior experience.

Is Google Cloud worth learning?

Yes, Google Cloud is worth learning as it is one of the leading cloud platforms, with particular strength in data analytics, AI, and machine learning. Understanding Google Cloud can open up job opportunities and improve your ability to work with scalable, data-driven cloud solutions.

How can Google Cloud help with data science and machine learning?

Google Cloud provides powerful tools like Vertex AI for building, training, and deploying machine learning models, and BigQuery for analyzing massive datasets at speed. It also offers scalable storage and computing power for handling large datasets efficiently.

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