Key takeaways
- AWS has the largest market share and the broadest range of services — a safe default for most learners.
- Azure is a natural fit for organisations built on Microsoft products such as Windows Server, Microsoft 365 and Active Directory.
- Google Cloud is known for data analytics, Kubernetes and AI/ML tooling.
- Core concepts transfer between all three, so your first choice is less permanent than it feels.
Cloud skills are among the most valuable in tech. Whether you want to become a cloud engineer, a DevOps specialist or simply deploy your own applications, you will eventually need to pick a platform. The three market leaders — Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) — all offer hundreds of services, free tiers and certification programmes.
So which should you learn first? This guide compares the three side by side and gives you a simple framework for choosing.
The quick answer
If you have no other information, start with AWS. It has the largest market share, the most job listings that mention a specific cloud platform and the biggest library of community tutorials. However, if your current or target employer uses Microsoft heavily, choose Azure; and if you are focused on data engineering, analytics or machine learning, Google Cloud is an excellent option.
An overview of the big three
Amazon Web Services (AWS)
Launched in 2006, AWS pioneered the modern public cloud and remains the market leader. It offers the widest catalogue of services, from basic compute and storage to IoT, media processing and satellite ground stations. Startups and large enterprises alike use AWS, which makes AWS skills relevant across many industries.
Microsoft Azure
Azure is the second-largest cloud provider. Its biggest strength is deep integration with the Microsoft ecosystem — Windows Server, SQL Server, Microsoft 365, Entra ID (formerly Azure Active Directory) and developer tools like Visual Studio and GitHub. This makes it popular with enterprises, governments and organisations that already run on Microsoft technology.
Google Cloud Platform (GCP)
Google Cloud is built on the same infrastructure that runs Google's own products. It is particularly well regarded for data and analytics (BigQuery), containers (Google created Kubernetes) and AI/ML services (Vertex AI). Its console is often praised for being clean and developer-friendly.
Side-by-side service comparison
The good news: the core building blocks are remarkably similar. Here is how common services map across providers.
| Category | AWS | Azure | Google Cloud |
|---|---|---|---|
| Virtual machines | EC2 | Azure Virtual Machines | Compute Engine |
| Object storage | S3 | Blob Storage | Cloud Storage |
| Serverless functions | Lambda | Azure Functions | Cloud Run functions |
| Managed Kubernetes | EKS | AKS | GKE |
| Relational database | RDS / Aurora | Azure SQL Database | Cloud SQL |
| Data warehouse | Redshift | Synapse / Fabric | BigQuery |
| Machine learning | SageMaker, Bedrock | Azure Machine Learning, Azure OpenAI | Vertex AI |
| Identity & access | IAM | Entra ID, RBAC | Cloud IAM |
Learn concepts, not just product names. Once you understand what a virtual machine, an object store or a load balancer does, switching providers is mostly a matter of learning new names and console layouts.
Recommended free courseCloud Computing Foundations: AWS, Azure and Google Cloud View course Strengths and trade-offs
| Platform | Strengths | Trade-offs |
|---|---|---|
| AWS | Largest service catalogue, mature ecosystem, huge community and job market | The sheer number of services and options can overwhelm beginners |
| Azure | Seamless Microsoft integration, strong hybrid-cloud options, enterprise adoption | Naming and portal layout change frequently, which can confuse learners |
| Google Cloud | Excellent data, analytics, Kubernetes and AI tooling; clean developer experience | Smaller market share means fewer platform-specific job listings in some regions |
Beginner cloud certifications
Each provider has a foundational certification designed for newcomers, followed by associate-level certifications for hands-on roles:
| Provider | Foundational | Popular next step |
|---|---|---|
| AWS | AWS Certified Cloud Practitioner | AWS Certified Solutions Architect – Associate |
| Azure | Microsoft Azure Fundamentals (AZ-900) | Azure Administrator Associate (AZ-104) |
| Google Cloud | Cloud Digital Leader | Associate Cloud Engineer |
Foundational exams test concepts rather than deep technical skills, which makes them a good confidence-builder. Associate-level certifications carry more weight with employers because they prove hands-on ability. Certification names and exam content are updated periodically, so always check the provider's official certification page before you book.
How to choose: three simple questions
- Where do you work (or want to work)? If your company already uses one provider, learn that one — you will get real-world practice and visibility.
- What does your local job market ask for? Search job sites in your city for "cloud engineer" and count which platforms appear most.
- What is your career focus? General cloud and DevOps roles often favour AWS; Microsoft-centric enterprise IT often favours Azure; data and ML engineering often favours Google Cloud.
A 90-day plan to learn your first cloud
- Days 1–30: Foundations. Learn cloud concepts, create a free-tier account, set a billing alert and launch your first virtual machine and storage bucket.
- Days 31–60: Build. Deploy a simple website, set up a managed database, write a serverless function and configure identity and access permissions.
- Days 61–90: Automate and certify. Learn infrastructure as code, containerise an app with Docker and sit your foundational certification exam.
Ready to go further? Our DevOps with Docker & Kubernetes course shows how to automate deployments on any cloud.
What about multi-cloud?
Many organisations use more than one cloud provider. That is good news for learners: deep knowledge of one platform plus familiarity with the others is a strong, marketable combination. Tools such as Kubernetes, Terraform and Docker work across providers, so investing in them makes your skills even more portable.
Conclusion
There is no wrong answer in the AWS vs Azure vs Google Cloud debate — all three are industry-leading platforms with strong career prospects. Start with AWS if you want the broadest job market, Azure if you are in a Microsoft environment, or Google Cloud if data and AI excite you most. Focus on core concepts and hands-on projects, and your skills will transfer wherever your career takes you.
Frequently asked questions
Which cloud platform is easiest for beginners?
All three offer beginner-friendly learning resources and free tiers. Many learners find Google Cloud's console simple to navigate, while AWS has the largest amount of tutorials and community content.
Should I learn AWS or Azure first?
If you are targeting the general job market, AWS is a safe first choice because it has the largest market share. If you work in or want to join an organisation that relies heavily on Microsoft products, Azure may be the better start.
Can I learn cloud computing without coding?
Yes, you can learn cloud fundamentals and many administration tasks without coding. Basic scripting skills become valuable as you move into automation, DevOps and cloud engineering roles.
Are cloud skills transferable between providers?
Largely, yes. Core concepts such as virtual machines, object storage, identity management and networking work similarly on every platform; mainly the service names and consoles differ.
