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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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DataCamp for Business आज़माएं

Recommended for Google Cloud beginners

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

लर्निंग पाथ

Google Cloud डिजिटल लीडर

4.6+
3 समीक्षाएँ
8 घंटे
क्लाउड कंप्यूटिंग में अपना ज्ञान बढ़ाएँ। इस कार्यक्रम के साथ Google Cloud Digital Leader प्रमाणन परीक्षा की तैयारी करें।

कोर्स

Innovating with Google Cloud AI

बुनियादीकौशल स्तर
4.8+
191 समीक्षाएँ
1 घंटे
Innovating with Google Cloud AI

निश्चित नहीं कि कहां से शुरू करें?

मूल्यांकन लें

Google Cloud पाठ्यक्रम और ट्रैक ब्राउज़ करें

कोर्स

Introduction to Security Principles in Cloud Computing

मध्यमकौशल स्तर
4.8+
19 समीक्षाएँ
18 घंटे 15 मिनट
In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts.

कोर्स

Scaling with Google Cloud Operations

बुनियादीकौशल स्तर
4.8+
116 समीक्षाएँ
1 घंटे
Scaling with Google Cloud Operations

कोर्स

Essential Google Cloud Infrastructure: Foundation

मध्यमकौशल स्तर
4.8+
59 समीक्षाएँ
4 घंटे 45 मिनट
This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Infrastructure Foundations.

कोर्स

Detect, Respond, and Recover from Cloud Cybersecurity Attacks

मध्यमकौशल स्तर
4.9+
14 समीक्षाएँ
26 घंटे 15 मिनट
In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks.

कोर्स

Google: Introduction to Large Language Models

बुनियादीकौशल स्तर
4.9+
51 समीक्षाएँ
1 घंटे
This is an introductory level course that explores what large language models (LLM) are, their use cases, and how you can prompt them.

कोर्स

AI Infrastructure: Introduction to AI Hypercomputer

मध्यमकौशल स्तर
4.9+
40 समीक्षाएँ
1 घंटे
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.

कोर्स

Google: Optimize Agent Behavior

मध्यमकौशल स्तर
4.8+
64 समीक्षाएँ
2 घंटे
Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.

कोर्स

AI Infrastructure: Networking Techniques

मध्यमकौशल स्तर
4.8+
36 समीक्षाएँ
1 घंटे
Design and deploy high-performance AI/ML solutions using Google Clouds AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.

कोर्स

Cloud Security Risks: Identify and Protect Against Threats

मध्यमकौशल स्तर
4.8+
24 समीक्षाएँ
28 घंटे
This course explores identity management and access control within a cloud environment, covering authentication, authorization, auditing, and more.

कोर्स

Google: Manage Agent Memory and State

मध्यमकौशल स्तर
4.7+
56 समीक्षाएँ
1 घंटे 30 मिनट
Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.

कोर्स

Production Machine Learning Systems

मध्यमकौशल स्तर
4.9+
25 समीक्षाएँ
16 घंटे
Learn how to implement the various flavors of ML: static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.

कोर्स

Gemini for Application Developers

मध्यमकौशल स्तर
4.7+
22 समीक्षाएँ
1 घंटे 30 मिनट
You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

कोर्स

Essential Google Cloud Infrastructure: Core Services

मध्यमकौशल स्तर
4.9+
53 समीक्षाएँ
8 घंटे 15 मिनट
This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.

कोर्स

Machine Learning Operations (MLOps): Getting Started

मध्यमकौशल स्तर
4.9+
25 समीक्षाएँ
4 घंटे 30 मिनट
Learn MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

कोर्स

Google: Add Agent Capabilities With Tools

मध्यमकौशल स्तर
4.7+
54 समीक्षाएँ
3 घंटे
Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.

कोर्स

AI Infrastructure: Cloud GPUs

मध्यमकौशल स्तर
4.8+
36 समीक्षाएँ
1 घंटे
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.

कोर्स

Getting Started with Google Kubernetes Engine

मध्यमकौशल स्तर
4.8+
49 समीक्षाएँ
5 घंटे 15 मिनट
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.

कोर्स

Google Workspace End User: Gmail

बुनियादीकौशल स्तर
4.8+
48 समीक्षाएँ
7 घंटे 15 मिनट
Learn to compose, send, and manage email in Gmail, organize messages with labels, and configure settings like filters and signatures.

कोर्स

AI Infrastructure: Storage Options

मध्यमकौशल स्तर
4.9+
30 समीक्षाएँ
1 घंटे
Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.

कोर्स

Create Generative AI Apps on Google Cloud

मध्यमकौशल स्तर
5
18 समीक्षाएँ
4 घंटे
Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.

कोर्स

Responsible AI for Developers: Fairness & Bias

मध्यमकौशल स्तर
5
27 समीक्षाएँ
4 घंटे
This course covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices.

कोर्स

Elastic Google Cloud Infrastructure: Scaling and Automation

मध्यमकौशल स्तर
4.9+
42 समीक्षाएँ
7 घंटे
This course introduces solution elements, including networks, load balancing, autoscaling, infrastructure automation and managed services.

कोर्स

Build Data Lakes and Data Warehouses on Google Cloud

मध्यमकौशल स्तर
4.8+
36 समीक्षाएँ
3 घंटे 48 मिनट
Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.

कोर्स

AI Infrastructure: Deployment Types

मध्यमकौशल स्तर
4.9+
26 समीक्षाएँ
1 घंटे 30 मिनट
A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.

कोर्स

Introduction to Gemini Enterprise

बुनियादीकौशल स्तर
4.9+
16 समीक्षाएँ
2 घंटे 15 मिनट
Gemini Enteprise brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges.

कोर्स

Google Workspace End User: Google Sheets - Advanced Topics

बुनियादीकौशल स्तर
4.8+
35 समीक्षाएँ
8 घंटे
Explore advanced Google Sheets features including conditional formatting, complex formulas, data validation, and referencing.

कोर्स

Google Workspace End User: Google Sheets

बुनियादीकौशल स्तर
4.8+
34 समीक्षाएँ
6 घंटे 30 मिनट
Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.

Google Cloud पर संबंधित संसाधन

ब्लॉग

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 मि॰

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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