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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

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Google Cloudのコースとトラックを閲覧

コース

Introduction to Security Principles in Cloud Computing

中級スキルレベル
4.8+
17件のレビュー
18時間15分
In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts.

コース

Essential Google Cloud Infrastructure: Foundation

中級スキルレベル
4.8+
58件のレビュー
4時間45分
This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Infrastructure Foundations.

コース

Google: Introduction to Large Language Models

基礎スキルレベル
4.9+
50件のレビュー
1時間
This is an introductory level course that explores what large language models (LLM) are, their use cases, and how you can prompt them.

コース

AI Infrastructure: Introduction to AI Hypercomputer

中級スキルレベル
4.9+
39件のレビュー
1時間
Youll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right one for your needs.

コース

Google: Optimize Agent Behavior

中級スキルレベル
4.8+
62件のレビュー
2時間
Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.

コース

AI Infrastructure: Networking Techniques

中級スキルレベル
4.9+
35件のレビュー
1時間
Design and deploy high-performance AI/ML solutions using Google Clouds AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.

コース

Production Machine Learning Systems

中級スキルレベル
4.9+
25件のレビュー
16時間
Learn how to implement the various flavors of ML: static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.

コース

Google: Manage Agent Memory and State

中級スキルレベル
4.7+
55件のレビュー
1時間30分
Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.

コース

Gemini for Application Developers

中級スキルレベル
4.8+
21件のレビュー
1時間30分
You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

コース

Essential Google Cloud Infrastructure: Core Services

中級スキルレベル
4.9+
51件のレビュー
8時間15分
This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.

コース

Google: Add Agent Capabilities With Tools

中級スキルレベル
4.7+
53件のレビュー
3時間
Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.

コース

Getting Started with Google Kubernetes Engine

中級スキルレベル
4.8+
48件のレビュー
5時間15分
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.

コース

AI Infrastructure: Cloud GPUs

中級スキルレベル
4.8+
36件のレビュー
1時間
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.

コース

Google Workspace End User: Gmail

基礎スキルレベル
4.8+
47件のレビュー
7時間15分
Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.

コース

AI Infrastructure: Storage Options

中級スキルレベル
4.9+
30件のレビュー
1時間
Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.

コース

Build Data Lakes and Data Warehouses on Google Cloud

中級スキルレベル
4.8+
36件のレビュー
3時間48分
Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.

コース

Create Generative AI Apps on Google Cloud

中級スキルレベル
5
18件のレビュー
4時間
Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.

コース

Introduction to Gemini Enterprise

基礎スキルレベル
4.9+
16件のレビュー
2時間15分
Gemini Enteprise brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.

コース

AI Infrastructure: Deployment Types

中級スキルレベル
4.9+
26件のレビュー
1時間30分
A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.

コース

Google Workspace End User: Google Sheets

基礎スキルレベル
4.9+
33件のレビュー
6時間30分
Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.

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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