In today’s cloud-driven world, traditional servers and local infrastructure are rapidly being replaced by scalable, on-demand cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). These cloud services have become the backbone of modern DevOps practices, enabling teams to build, deploy, and scale applications faster, more securely, and more efficiently.
If you’re considering or already enrolled in a DevOps training program, a common and important question is:
“Will I learn cloud platforms like AWS, Azure, or GCP in this DevOps course?”
The short answer is: Absolutely yes.
Modern DevOps is tightly integrated with cloud technologies, and no DevOps training is complete without covering at least one of the top cloud platforms. Let’s break down why cloud knowledge is essential, which platforms you’ll likely learn, and how they fit into the DevOps workflow.
1. Cloud Is the Foundation of Modern DevOps
Today, 90%+ of DevOps pipelines run on cloud infrastructure. Cloud platforms offer:
On-demand servers
Auto-scaling
High availability
Global distribution
Integrated security and monitoring
DevOps engineers rely on the cloud for provisioning environments, hosting CI/CD pipelines, running containers, and managing infrastructure with code. As such, cloud training is a core component of becoming job-ready in DevOps.
2. AWS – The Most In-Demand Cloud Platform
In most DevOps training programs, Amazon Web Services (AWS) is the first and often primary cloud platform taught. Why?
AWS is the most widely adopted cloud platform globally.
It integrates seamlessly with DevOps tools like Jenkins, Docker, Kubernetes, and Terraform.
Services like EC2 (servers), S3 (storage), EKS (Kubernetes), CodePipeline (CI/CD), and CloudWatch (monitoring) are crucial to DevOps workflows.
In your training, you’ll learn:
How to launch EC2 instances and configure environments
Use S3 for code or artifact storage
Set up automated pipelines with CodeBuild and CodeDeploy
Provision cloud resources using Terraform or Ansible
3. Microsoft Azure – Gaining Popularity in Enterprises
Microsoft Azure is the second-largest cloud provider and is widely used in enterprise DevOps environments—especially in companies that already use Microsoft technologies like Windows, .NET, or Active Directory.
In Azure-integrated DevOps training, you’ll learn:
Azure DevOps Services for version control, CI/CD, and project management
Creating and managing resources with Azure Resource Manager (ARM)
Hosting web apps and containers on Azure App Services or AKS (Azure Kubernetes Service)
Automating deployments with Azure Pipelines
Azure is ideal for learners looking to work with large corporations, government projects, or industries with Microsoft-based tech stacks.
4. Google Cloud Platform (GCP) – Developer-Friendly Cloud
GCP is known for its simplicity, powerful machine learning tools, and developer-focused design. It’s becoming increasingly popular in startups, tech companies, and data-heavy industries.
In GCP modules, you’ll explore:
Creating compute instances and Kubernetes clusters (GKE)
Using Cloud Build and Cloud Run for CI/CD
Monitoring apps with Stackdriver
Managing infrastructure with Deployment Manager
While GCP isn’t as dominant as AWS or Azure in enterprise DevOps roles, it’s highly valued in tech startups and data-centric environments.
5. Infrastructure as Code (IaC) with Cloud Providers
One of the most essential parts of DevOps training is learning Infrastructure as Code (IaC)—the ability to automate and manage infrastructure using code, rather than manually.
Using tools like:
Terraform
AWS CloudFormation
Azure ARM Templates
…you’ll learn to create servers, databases, networks, and security rules through code that’s version-controlled and repeatable. These skills are cloud-specific and high in demand.
Example:
In AWS, you’ll write Terraform scripts to launch EC2 instances, attach security groups, and configure load balancers automatically.
6. Cloud-Native CI/CD Integration
All major cloud providers offer native CI/CD tools that you’ll explore in training:
AWS CodePipeline / CodeBuild
Azure DevOps Pipelines / Repos
GCP Cloud Build
You’ll learn how to:
Trigger automated builds on code push
Deploy to staging and production environments
Integrate code quality checks and testing stages
Roll back faulty releases automatically
These tools make cloud pipelines faster and easier to manage compared to third-party tools and are crucial in modern deployments.
7. Cloud Monitoring and Logging
After deployment, monitoring the health of cloud-hosted applications is critical.
You’ll get hands-on experience with:
AWS CloudWatch
Azure Monitor
GCP Stackdriver (Cloud Monitoring)
These tools help you:
Track metrics like CPU, memory, network usage
Set up alerts for errors or crashes
Visualize performance on dashboards
Analyze logs and trace application issues
You’ll learn to integrate monitoring tools with Prometheus, Grafana, or even Slack/Email for real-time alerts.
8. Multi-Cloud and Career Opportunities
While most DevOps engineers specialize in one cloud provider, having exposure to multi-cloud environments is a huge advantage.
In your training:
You may start with AWS but get introduced to Azure/GCP as well
You’ll understand differences and similarities between platforms
You’ll build cloud-agnostic CI/CD pipelines that work across providers
Job roles like Cloud DevOps Engineer, SRE, and Platform Engineer often require multi-cloud awareness. Your training will prepare you to adapt across various cloud ecosystems, increasing your career options and salary potential.
Conclusion
To thrive as a DevOps professional in today’s job market, cloud platform skills are not optional—they’re essential. Whether you work for a startup, a tech giant, or an enterprise, the ability to manage and deploy applications in the cloud is a core DevOps responsibility.
A quality DevOps training program will:
Start with AWS, the industry standard
Introduce you to Azure and GCP based on career goals
Teach you to use cloud-native services for CI/CD, monitoring, and deployments
Include hands-on projects that mimic real-world cloud environments
In short, yes—you will learn cloud platforms like AWS, Azure, or GCP during DevOps training, and they’ll be a central part of your job-readiness journey