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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

课程

云计算概述

基础技能水平
4.8+
11,809 条评价
2小时
云计算入门，无需编码，涵盖关键概念、术语和工具。

学习路径

Microsoft Azure 基础知识 (AZ-900)

4.7+
94 条评价
9小时
通过学习 Azure 的基础知识：计算、存储和网络，为微软 Azure Fundamentals 认证（AZ-900）做好准备。

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课程

Google: Optimize Agent Behavior

中级技能水平
4.8+
56 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

Production Machine Learning Systems

中级技能水平
4.9+
23 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

AI Infrastructure: Networking Techniques

中级技能水平
4.9+
32 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

Gemini for Application Developers

中级技能水平
4.8+
21 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

Google: Manage Agent Memory and State

中级技能水平
4.7+
50 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

Getting Started with Google Kubernetes Engine

中级技能水平
4.8+
47 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

Google Workspace End User: Gmail

基础技能水平
4.8+
44 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
4.8+
46 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

AI Infrastructure: Cloud GPUs

中级技能水平
4.8+
33 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
18 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

Introduction to Gemini Enterprise

基础技能水平
4.9+
16 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: Storage Options

中级技能水平
4.8+
26 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

Google Workspace End User: Google Sheets

基础技能水平
4.9+
33 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: Deployment Types

中级技能水平
4.9+
23 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.

课程

Google Workspace End User: Google Docs

基础技能水平
4.9+
30 条评价
4 小时 30 分钟
Learn to create, format, and collaborate on documents in real time using Google Docs, stored securely in the cloud.

Cloud 相关资源

博客

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分钟

博客

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分钟

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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