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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.

Program

Google Cloud Digital Leader

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

Kurs

Google Cloud AI ile Yenilikçilik

TemelBeceri Seviyesi
4.8+
112 inceleme
1 sa
Google Cloud AI ile yenilikler

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Google Cloud kurs ve programlarına göz atın

Kurs

Google DeepMind: Accelerate Your Model

Orta SeviyeBeceri Seviyesi
4.9+
20 inceleme
7 sa
Train more powerful models with a single GPU, learn how hardware can speed up model training and the key considerations when training models on a GPU.

Kurs

Google Workspace End User: Gmail

TemelBeceri Seviyesi
4.7+
23 inceleme
7 sa 15 dk
Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.

Kurs

Getting Started with Google Kubernetes Engine

Orta SeviyeBeceri Seviyesi
4.8+
21 inceleme
5 sa 15 dk
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.

Kurs

Google: Optimize Agent Behavior

Orta SeviyeBeceri Seviyesi
4.8+
21 inceleme
2 sa
Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.

Kurs

Logging and Monitoring in Google Cloud

TemelBeceri Seviyesi
4.9+
20 inceleme
5 sa 15 dk
This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring.

Kurs

Google: Introduction to Generative AI

TemelBeceri Seviyesi
4.8+
11 inceleme
45 dk
This is an introductory level course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.

Kurs

Google: Add Agent Capabilities With Tools

Orta SeviyeBeceri Seviyesi
4.8+
16 inceleme
3 sa
Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.

Kurs

Google: Manage Agent Memory and State

Orta SeviyeBeceri Seviyesi
4.7+
17 inceleme
1 sa 30 dk
Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.

Kurs

Google Workspace End User: Google Slides

TemelBeceri Seviyesi
4.9+
16 inceleme
8 sa 30 dk
With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.

Kurs

Observability in Google Cloud

TemelBeceri Seviyesi
4.8+
18 inceleme
4 sa 30 dk
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

Kurs

Google Workspace End User: Google Docs

TemelBeceri Seviyesi
4.8+
14 inceleme
4 sa 30 dk
Learn to create, format, and collaborate on documents in real time using Google Docs, stored securely in the cloud.

Kurs

Google Workspace End User: Google Sheets

TemelBeceri Seviyesi
4.8+
14 inceleme
6 sa 30 dk
Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.

Kurs

Google Workspace End User: Google Meet

TemelBeceri Seviyesi
4.7+
13 inceleme
5 sa 30 dk
Learn to schedule, host, and manage video meetings in Google Meet, including screen sharing and collaboration tools.

Kurs

Google Workspace End User: Google Chat

TemelBeceri Seviyesi
4.7+
15 inceleme
2 sa 30 dk
Learn to message individuals and groups, collaborate in spaces, and integrate Google Chat with other Workspace apps.

Kurs

Build Batch Data Pipelines on Google Cloud

Orta SeviyeBeceri Seviyesi
4.8+
9 inceleme
2 sa 6 dk
Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

Kurs

Boost Productivity with Gemini in BigQuery

TemelBeceri Seviyesi
4.9+
12 inceleme
1 sa 23 dk
Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

Kurs

Build Streaming Data Pipelines on Google Cloud

Orta SeviyeBeceri Seviyesi
4.7+
9 inceleme
3 sa 32 dk
Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.

Kurs

Manage Scalable Workloads in GKE

İleri SeviyeBeceri Seviyesi
4.5+
4 inceleme
7 sa 20 dk
Scale and manage multi-cluster GKE environments. Master fleets, Cloud Service Mesh, identity management, CI/CD at scale, and GKE Enterprise capabilities.

Google Cloud ile ilgili kaynaklar

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 dk.

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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