Перейти к основному контенту
Главная

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.

Создать бесплатный аккаунт

Продолжить через GoogleПоказать больше вариантов

или


Продолжая, вы принимаете наши Условия использования, Политику конфиденциальности и соглашаетесь с хранением ваших данных в США.
Group

Обучаете 2 или более человек?

Попробовать DataCamp for Business

Recommended for Google Cloud beginners

Start your Google Cloud training with these interactive courses led by seasoned industry experts.

Трек

Цифровой лидер Google Cloud

8 ч
Углубите свои знания в облачных вычислениях. Подготовьтесь к экзамену на сертификацию Google Cloud Digital Leader с этой программой.

Курс

Innovating with Google Cloud AI

БазовыйУровень навыков
4.8+
95 отзывов
1 ч
Innovating with Google Cloud AI

Не знаете, с чего начать?

Пройти оценку

Просматривайте курсы и треки Google Cloud

Курс

Serverless Data Processing with Dataflow: Develop Pipelines

Продвинутый уровеньУровень навыков
4.7+
7 отзывов
4 ч 22 мин
Develop data pipelines with Apache Beam and Dataflow. Cover transforms, windowing, I/O connectors, schemas, state APIs, Beam SQL, and notebooks.

Курс

Work with Gemini Models in BigQuery

Средний уровеньУровень навыков
4.7+
9 отзывов
1 ч
Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

Курс

Serverless Data Processing with Dataflow: Operations

Продвинутый уровеньУровень навыков
4.8+
6 отзывов
4 ч 13 мин
Operate Dataflow pipelines in production. Learn monitoring, logging, troubleshooting, performance tuning, CI/CD, reliability, and templates.

Трек

Google Associate Cloud Engineer

35 ч
Этот путь обучения для сертификации предоставляет практические навыки, необходимые для Google Cloud Engineer.

Трек

Google Workspace с Gemini

4.5+
4 отзыва
4 ч
Вы узнаете о ключевых возможностях Gemini и о том, как их можно использовать для повышения продуктивности и эффективности в Google Workspace.

Трек

Цифровой лидер Google Cloud

8 ч
Углубите свои знания в облачных вычислениях. Подготовьтесь к экзамену на сертификацию Google Cloud Digital Leader с этой программой.

Трек

Google Cloud Data Engineer

29 ч
Learn data engineering on Google Cloud. Build data lakes, warehouses, and pipelines with BigQuery, Dataflow, and Cloud Composer.

Трек

Google Workspace End User

15 ч
Master Google Workspaces core apps — Gmail, Drive, Docs, Sheets, Slides, Meet, Calendar, and Chat.

Трек

Deploy Production-Ready Agents

2 ч
Deploy AI agents to production using Googles ADK, Vertex AI Agent Engine, Cloud Run, and Memory Bank for persistent cross-session state.

Трек

Scale Agents Across the Enterprise

1 ч
Explore how gen AI agents transform organizations and learn human-centered AI strategies for balancing automation with human intuition.

Связанные ресурсы по теме Google Cloud

блог

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 мин


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.

Другие технологии и темы

технологии

Развивайте свои навыки работы с данными с помощью DataCamp для мобильных устройств.

Успевайте в обучении на ходу с помощью наших мобильных курсов и ежедневных 5-минутных заданий по программированию.