跳至内容
首页

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.

创建您的免费帐户

继续使用 Google显示更多选项

或

继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。
Group

培训 2 人或更多？

试用DataCamp for Business

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

4.5+
2 条评价
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+
159 条评价
1小时
Innovating with Google Cloud AI

不确定从哪里开始？

参加评估

浏览 Google Cloud 课程和学习路径

课程

Google: Optimize Agent Behavior

中级技能水平
4.8+
39 条评价
2小时
Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.

课程

Google: Manage Agent Memory and State

中级技能水平
4.6+
33 条评价
1 小时 30 分钟
Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.

课程

AI Infrastructure: Networking Techniques

中级技能水平
4.9+
21 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

Production Machine Learning Systems

中级技能水平
5
11 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

Google Workspace End User: Gmail

基础技能水平
4.8+
30 条评价
7 小时 15 分钟
Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.

课程

Google: Add Agent Capabilities With Tools

中级技能水平
4.7+
34 条评价
3小时
Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.

课程

Getting Started with Google Kubernetes Engine

中级技能水平
4.7+
35 条评价
5 小时 15 分钟
The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, and how to get applications containerized and running in Google Cloud.

课程

Introduction to Gemini Enterprise

基础技能水平
4.9+
15 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
20 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

Create Generative AI Apps on Google Cloud

中级技能水平
5
12 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

Google Workspace End User: Google Sheets

基础技能水平
4.9+
22 条评价
6 小时 30 分钟
Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.

课程

AI Infrastructure: Storage Options

中级技能水平
4.9+
20 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

Gemini for Application Developers

中级技能水平
4.8+
15 条评价
1 小时 30 分钟
You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

课程

AI Infrastructure: Deployment Types

中级技能水平
5
16 条评价
1 小时 30 分钟
A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.

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.

其他技术和主题

技术

主题

通过 DataCamp 移动版提升您的数据技能

借助我们的移动课程和每日 5 分钟编程挑战，随时随地取得进步。

Download on the App StoreGet it on Google Play