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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.

学习路径

Google Cloud 数字领导者

8小时
提升你在云计算方面的知识。 使用本课程为 Google Cloud Digital Leader 认证考试做好准备。

课程

Innovating with Google Cloud AI

基础技能水平
4.8+
117 条评价
1小时
Innovating with Google Cloud AI

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浏览 Google Cloud 课程和学习路径

课程

Manage Scalable Workloads in GKE

高级技能水平
4.6+
6 条评价
7 小时 20 分钟
Scale and manage multi-cluster GKE environments. Master fleets, Cloud Service Mesh, identity management, CI/CD at scale, and GKE Enterprise capabilities.

课程

Boost Productivity with Gemini in BigQuery

基础技能水平
4.9+
14 条评价
1 小时 23 分钟
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

课程

AI Infrastructure: Networking Techniques

中级技能水平
4.8+
11 条评价
1小时
Design and deploy high-performance AI/ML solutions using Google Clouds AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.

课程

Work with Gemini Models in BigQuery

中级技能水平
4.8+
14 条评价
1小时
Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

课程

Production Machine Learning Systems

中级技能水平
5
5 条评价
16小时
Learn how to implement the various flavors of ML: static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.

课程

Introduction to Gemini Enterprise

基础技能水平
5
7 条评价
2 小时 15 分钟
Gemini Enteprise brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.

课程

AI Infrastructure: Cloud GPUs

中级技能水平
5
6 条评价
1小时
Well explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them.

课程

Deploy and Scale AI Models with Cloud Run

中级技能水平
4.8+
5 条评价
1 小时 15 分钟
This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run.

课程

Model Armor: Securing AI Deployments

中级技能水平
5
5 条评价
2 小时 30 分钟
This course reviews the essential security features of Model Armor and equips you to work with the service.

课程

AI Infrastructure: Storage Options

中级技能水平
4.8+
11 条评价
1小时
Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.

课程

Create Generative AI Apps on Google Cloud

中级技能水平
5
5 条评价
4小时
Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.

课程

Gemini for end-to-end SDLC

中级技能水平
5
4 条评价
1 小时 30 分钟
With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data.

Google Cloud 相关资源

博客

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分钟

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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