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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.

Ścieżka

Google Cloud Digital Leader

4.5+
2 recenzje
8 godz.
Zwiększ swoją wiedzę z zakresu przetwarzania w chmurze. Przygotuj się do egzaminu certyfikacyjnego Google Cloud Digital Leader dzięki temu programowi.

Kurs

Innovating with Google Cloud AI

PodstawowyPoziom umiejętności
4.8+
159 recenzji
1 godz.
Innovating with Google Cloud AI

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Przeglądaj kursy i ścieżki Google Cloud

Kurs

Google: Optimize Agent Behavior

ŚredniozaawansowanyPoziom umiejętności
4.8+
39 recenzji
2 godz.
Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.

Kurs

Introduction to Security in the World of AI

ŚredniozaawansowanyPoziom umiejętności
4.8+
31 recenzji
1 godz.
This course equips security and data protection leaders with strategies to securely manage AI within their organizations.

Kurs

AI Infrastructure: Introduction to AI Hypercomputer

ŚredniozaawansowanyPoziom umiejętności
5
21 recenzji
1 godz.
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.

Kurs

Google: Manage Agent Memory and State

ŚredniozaawansowanyPoziom umiejętności
4.6+
33 recenzje
1 godz. 30 min
Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.

Kurs

AI Infrastructure: Networking Techniques

ŚredniozaawansowanyPoziom umiejętności
4.9+
21 recenzji
1 godz.
Design and deploy high-performance AI/ML solutions using Google Clouds AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.

Kurs

Essential Google Cloud Infrastructure: Core Services

ŚredniozaawansowanyPoziom umiejętności
4.8+
35 recenzji
8 godz. 15 min
This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.

Kurs

Production Machine Learning Systems

ŚredniozaawansowanyPoziom umiejętności
5
11 recenzji
16 godz.
Learn how to implement the various flavors of ML: static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.

Kurs

Google Workspace End User: Gmail

PodstawowyPoziom umiejętności
4.8+
30 recenzji
7 godz. 15 min
Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.

Kurs

Google: Add Agent Capabilities With Tools

ŚredniozaawansowanyPoziom umiejętności
4.7+
34 recenzje
3 godz.
Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.

Kurs

Getting Started with Google Kubernetes Engine

ŚredniozaawansowanyPoziom umiejętności
4.7+
35 recenzji
5 godz. 15 min
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

Introduction to Gemini Enterprise

PodstawowyPoziom umiejętności
4.9+
15 recenzji
2 godz. 15 min
Gemini Enteprise brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.

Kurs

Build Data Lakes and Data Warehouses on Google Cloud

ŚredniozaawansowanyPoziom umiejętności
4.8+
24 recenzje
3 godz. 48 min
Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.

Kurs

AI Infrastructure: Cloud GPUs

ŚredniozaawansowanyPoziom umiejętności
5
20 recenzji
1 godz.
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.

Kurs

Create Generative AI Apps on Google Cloud

ŚredniozaawansowanyPoziom umiejętności
5
12 recenzji
4 godz.
Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.

Kurs

Google Workspace End User: Google Sheets

PodstawowyPoziom umiejętności
4.9+
22 recenzje
6 godz. 30 min
Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.

Kurs

AI Infrastructure: Storage Options

ŚredniozaawansowanyPoziom umiejętności
4.9+
20 recenzji
1 godz.
Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.

Kurs

Gemini for Application Developers

ŚredniozaawansowanyPoziom umiejętności
4.8+
15 recenzji
1 godz. 30 min
You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

Kurs

AI Infrastructure: Deployment Types

ŚredniozaawansowanyPoziom umiejętności
5
16 recenzji
1 godz. 30 min
A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.

Kurs

Google Workspace End User: Google Drive

PodstawowyPoziom umiejętności
4.8+
19 recenzji
5 godz. 30 min
Learn to upload, organize, share, and manage files and folders in Google Drive from any device.

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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