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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.

트랙

구글 클라우드 디지털 리더

8 시간
93
클라우드 컴퓨팅 지식을 향상시키세요. 이 프로그램을 통해 Google Cloud 디지털 리더 인증 시험을 준비하세요.

강의

Innovating with Google Cloud AI

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1 시간
124
Innovating with Google Cloud AI

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Google Cloud 강의 및 트랙 둘러보기

강의

Digital Transformation with Google Cloud

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2 시간
198
This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

강의

Gen AI: Beyond the Chatbot

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2 시간
120
This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.

강의

Gen AI: Unlock Foundational Concepts

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2 시간
66
You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.

강의

Create Engaging Video with Google Vids

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1 시간
65
Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.

강의

Gemini in Google Docs

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1 시간
54
Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.

강의

Gemini in Google Sheets

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1 시간
54
Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.

강의

Gemini in Google Slides

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1 시간
51
Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

강의

Gen AI Apps: Transform Your Work

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1 시간
50
This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.

강의

Gemini in Google Drive

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1 시간
50
Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.

강의

Gemini in Google Meet

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1 시간
49
Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

강의

Gen AI: Navigate the Landscape

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1 시간
42
You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

트랙

구글 클라우드 디지털 리더

8 시간
93
클라우드 컴퓨팅 지식을 향상시키세요. 이 프로그램을 통해 Google Cloud 디지털 리더 인증 시험을 준비하세요.

트랙

Google Workspace with Gemini

4 시간
58
You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

Google Cloud 관련 리소스

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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

9분

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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