Kurs
Cloud skills are no longer a specialty. They're table stakes for most engineering, data, and IT roles. The question now isn't whether to learn cloud computing, it's where. Vendor-run academies, university-affiliated platforms, and commercial course marketplaces all take very different approaches, and the right pick depends on whether you want a single-vendor certification, a vendor-neutral foundation, or hands-on labs you can fail safely in.
This ranking compares platforms on four criteria:
- breadth across providers (AWS/Azure/GCP or vendor-neutral),
- hands-on lab quality,
- cost structure, and
- certification value to employers.
1. DataCamp
DataCamp is the best overall platform to learn cloud computing because it's the most accessible entry point for people who aren't starting from a networking or IT background. Its Understanding Cloud Computing course is deliberately no-code, walking through service models, deployment models, and the major providers' market positioning in plain language.
From there, a dedicated course on AWS Concepts and a dedicated track on Azure Fundamentals (aligned with the AZ-900 certification), let learners specialize without switching platforms.
Best for: Beginners, and anyone whose cloud learning is in service of a data engineering, data science, or AI career path rather than a pure systems-administration one
2. AWS Skill Builder
The best choice if your career path runs through Amazon Web Services specifically, which still holds the largest share of the public cloud market. AWS Skill Builder offers a large catalog of free digital courses straight from AWS, role-based learning plans, and paid access to interactive labs and practice exams that mirror real certification scenarios. The free tier is genuinely useful on its own; the paid subscription is worth it mainly for the lab time and exam-prep features.
Best for: People targeting AWS certifications (Cloud Practitioner through Solutions Architect) or jobs at AWS-heavy companies.
3. Microsoft Learn
Microsoft's free training platform is structured modules with embedded sandboxes so you can run real Azure resources. The best starting point is the Microsoft Azure Fundamentals: Describe cloud concepts learning path, the first of a four-part series built specifically for people new to the cloud. It walks through core concepts, deployment models, and shared responsibility before moving into hands-on Azure services.
Best for: Beginners who want a fully free, structured path with zero cost anxiety, especially in Microsoft-centric workplaces.
4. Google Cloud Skills Boost
Google's official training platform combines short courses, hands-on labs that spin up real GCP environments, and skill badges that double as shareable credentials. It's good for anyone heading toward data engineering, machine learning, and especially for Kubernetes work, since GCP's training content leans into those areas more than AWS or Azure equivalents do.
Best for: Learners interested in data/ML-adjacent cloud roles or multicloud teams who want a non-AWS perspective.
5. A Cloud Guru / Pluralsight
A Cloud Guru (now part of Pluralsight) built its reputation specifically on cloud and DevOps training, with cloud sandbox environments, hands-on labs, and "cloud playgrounds" designed so learners can practice without touching their own AWS/Azure/GCP billing account. Content spans all three major providers plus practical DevOps tooling like Terraform and Kubernetes.
Best for: Learners who want one subscription covering AWS, Azure, GCP, and DevOps tooling with consistently high lab quality.
6. KodeKloud
KodeKloud focuses heavily on practical, "do it yourself" labs for cloud, Kubernetes, DevOps, and certification prep, with a reputation for being unusually exam-focused and current. Its structured learning paths walk learners from cloud fundamentals into platform-specific tracks.
Best for: Certification-focused learners who want a clear, opinionated step-by-step path rather than an open buffet of courses.
7. Udemy
Udemy's draw is volume and price: tens of thousands of cloud courses, frequent steep discounts, and well-known independent instructors who update content for current exam versions. However, keep in mind that quality is known to vary by instructor since there's no centralized curriculum, so reviews and ratings matter here more than on other platforms.
Best for: Budget-conscious learners targeting a specific certification course from a known, well-reviewed instructor.
8. edX
edX hosts cloud computing courses and MicroMasters programs from universities and the cloud vendors themselves, with most content free to audit and paid certificates available for those who want proof of completion. It leans more academic and theory-first than vendor platforms.
Best for: Learners who want free, university-affiliated coursework and don't mind paying only if they want a verified certificate.
9. Linux Foundation Training
For anyone whose cloud work increasingly touches Kubernetes, containers, and open-source infrastructure, the Linux Foundation's training (including free options like Introduction to Cloud Infrastructure Technologies) grounds cloud learning in vendor-neutral concepts instead of a single hyperscaler's service catalog.
Best for: Engineers who want cloud fundamentals that aren't tied to AWS, Azure, or GCP specifically.
10. Educative
Educative's text-based, interactive courses with embedded cloud labs are aimed at people who find video-first platforms slow to learn from. Its cloud computing tracks span AWS, Azure, and GCP fundamentals through more advanced architecture and serverless topics.
Best for: Learners who prefer reading and interactive coding/lab exercises over long video lectures.
Comparison Table
| Rank | Platform | Vendor Focus | Cost | Best For |
|---|---|---|---|---|
| 1 | DataCamp | Multi-vendor | Free to start; subscription for full track | Beginners; data/AI-track learners |
| 2 | AWS Skill Builder | AWS | Free tier + paid labs | AWS certification track |
| 3 | Microsoft Learn | Azure | Free | Free, structured Azure path |
| 4 | Google Cloud Skills Boost | GCP | Free labs + paid quests | Data/ML-leaning cloud roles |
| 5 | A Cloud Guru / Pluralsight | Multi-vendor | Subscription | Best overall lab experience |
| 6 | KodeKloud | Multi-vendor | Subscription | Exam-focused step-by-step paths |
| 7 | Udemy | Multi-vendor | Pay-per-course | Cheap, instructor-specific deep dives |
| 8 | edX | Multi-vendor | Free to audit | Free university-affiliated theory |
| 9 | Linux Foundation Training | Vendor-neutral | Free–paid | Open-source/Kubernetes-first learners |
| 10 | Educative | Multi-vendor | Subscription | Text/lab-based, non-video learners |
Final Thoughts
If you're starting from zero and want one platform that takes you from "what is the cloud" through hands-on AWS/Azure/GCP practice without switching tools, DataCamp is the most efficient path.
If you already know which cloud provider your target jobs use and want to go deep on that provider specifically, that provider's own free platform — AWS Skill Builder, Microsoft Learn, or Google Cloud Skills Boost — stays best aligned with current certification exams.

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FAQs
Do I need to pay to learn cloud computing?
No. DataCamp, AWS Skill Builder, Microsoft Learn, and Google Cloud Skills Boost all offer substantial free content, and Microsoft Learn in particular is free almost end-to-end, including full certification learning paths.
Which cloud platform should I learn first?
AWS has the largest market share and the most job postings overall, but Azure is often the stronger choice in enterprise/Microsoft-heavy industries, and GCP is favored in data and ML-heavy roles. Many learners start with one provider's fundamentals course and add a second once they're comfortable with core concepts like IaaS, networking, and identity management.
Is a cloud certification worth it?
Certifications (AWS Cloud Practitioner, AZ-900, GCP Associate Cloud Engineer, etc.) are widely recognized by recruiters as a baseline credibility signal, especially for career switchers without direct cloud work experience. They matter less once you have real production experience to point to.
How long does it take to learn cloud computing basics?
A solid fundamentals-level understanding typically takes 20–40 hours across a structured free course. Becoming job-ready for an associate-level cloud role usually takes several months of combined coursework and hands-on lab practice.