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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.

Programma

Google Cloud Digital Leader

5
1 revisione
8 h
Boost your knowledge in cloud computing. Prepare for the Google Cloud Digital Leader certification exam with this program.

Corso

Innovare con Google Cloud AI

BasicLivello di competenza
4.8+
150 revisioni
1 h
Innovare con Google Cloud AI

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Sfoglia i corsi e programmi su Google Cloud

Corso

AI Infrastructure: Storage Options

IntermedioLivello di competenza
4.8+
18 revisioni
1 h
Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.

Corso

Boost Productivity with Gemini in BigQuery

BasicLivello di competenza
4.9+
17 revisioni
1 h 23 min
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

Corso

Gemini for Application Developers

IntermedioLivello di competenza
4.9+
14 revisioni
1 h 30 min
You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

Corso

Google Workspace End User: Google Calendar

BasicLivello di competenza
4.8+
19 revisioni
4 h 45 min
Learn to create and manage events, schedule meetings, share calendars, and use tasks and reminders to stay organized.

Corso

Google Workspace End User: Google Docs

BasicLivello di competenza
4.9+
20 revisioni
4 h 30 min
Learn to create, format, and collaborate on documents in real time using Google Docs, stored securely in the cloud.

Corso

AI Infrastructure: Deployment Types

IntermedioLivello di competenza
5
14 revisioni
1 h 30 min
A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.

Corso

Deploy and Scale AI Models with Cloud Run

IntermedioLivello di competenza
4.9+
13 revisioni
1 h 15 min
This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run.

Corso

Google Workspace End User: Google Meet

BasicLivello di competenza
4.8+
21 revisioni
5 h 30 min
Learn to schedule, host, and manage video meetings in Google Meet, including screen sharing and collaboration tools.

Corso

Architecting with Google Kubernetes Engine: Production

IntermedioLivello di competenza
4.8+
15 revisioni
3 h 30 min
Secure and monitor GKE production environments. Learn access control, logging, monitoring, CI/CD pipelines, and managed storage integration on Google Cloud.

Corso

Model Armor: Securing AI Deployments

IntermedioLivello di competenza
5
11 revisioni
2 h 30 min
This course reviews the essential security features of Model Armor and equips you to work with the service.

Corso

Build Batch Data Pipelines on Google Cloud

IntermedioLivello di competenza
4.9+
14 revisioni
2 h 6 min
Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

Corso

Manage Scalable Workloads in GKE

AvanzatoLivello di competenza
4.7+
9 revisioni
7 h 20 min
Scale and manage multi-cluster GKE environments. Master fleets, Cloud Service Mesh, identity management, CI/CD at scale, and GKE Enterprise capabilities.

Corso

Configure Gemini Code Assist for Organizations

IntermedioLivello di competenza
5
11 revisioni
1 h 30 min
The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions.

Corso

Google Workspace End User: Google Chat

BasicLivello di competenza
4.8+
24 revisioni
2 h 30 min
Learn to message individuals and groups, collaborate in spaces, and integrate Google Chat with other Workspace apps.

Corso

Work with Gemini Models in BigQuery

IntermedioLivello di competenza
4.8+
17 revisioni
1 h
Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

Corso

Gemini for end-to-end SDLC

IntermedioLivello di competenza
5
9 revisioni
1 h 30 min
With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data.

Corso

Architecting with Google Kubernetes Engine: Workloads

IntermedioLivello di competenza
4.8+
15 revisioni
2 h 30 min
Deploy and manage Kubernetes workloads on GKE. Cover networking, deployments, jobs, persistent storage, and data management in production environments.

Corso

Streamline App Development with Gemini Code Assist

IntermedioLivello di competenza
5
10 revisioni
2 h
This course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud.

Risorse correlate su Google Cloud

blog

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 min

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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