Cloud computing has changed how businesses develop, deploy, and manage software. As organizations adopt cloud technologies, professionals who understand automation, continuous integration, and cloud infrastructure can contribute to a wide range of IT projects.
If you are planning a cloud computing career, you may be comparing Azure vs AWS DevOps. Both offer valuable technical skills, but which one should you learn first?
Microsoft Azure and Amazon Web Services (AWS) support modern applications, automated deployments, and scalable cloud infrastructure. However, they use different services, tools, and certification pathways.
The right choice depends on your experience, interests, and career goals.
In this guide, we explain the differences between Azure and AWS DevOps, compare essential tools, explore certifications and salaries in Canada, and help you choose a suitable training pathway.
What Is DevOps, and Why Is It Important?
DevOps combines software development and IT operations to improve how applications are built, tested, released, and maintained.
Traditionally, developers created applications while operations teams managed deployment and infrastructure. DevOps encourages these teams to work together using automation, shared processes, and continuous feedback.
Important DevOps practices include:
- Continuous Integration (CI): Automatically building and testing code when developers make changes.
- Continuous Delivery and Deployment (CD): Preparing software for release or automatically deploying approved changes.
- Infrastructure as Code (IaC): Managing cloud infrastructure through reusable configuration files.
- Monitoring and Logging: Tracking application performance and identifying technical problems.
- Automation: Reducing repetitive tasks in testing, deployment, and infrastructure management.
- Security Integration: Including security checks throughout the software development lifecycle.
These skills are useful across both Azure and AWS environments.
For people exploring DevOps training in Canada, understanding these fundamentals is an important first step before specializing in a particular cloud platform.
What Is Azure DevOps?
Azure DevOps is Microsoft’s collection of development services that helps teams plan projects, manage source code, test software, and automate releases.
It works with Microsoft Azure, but Azure DevOps Services can also support development workflows involving other cloud platforms and on-premises environments.
Important Azure DevOps tools include:
- Azure Boards: Helps teams manage tasks, project backlogs, and Agile workflows.
- Azure Repos: Provides Git repositories for source code management.
- Azure Pipelines: Automates application builds, testing, and deployments.
- Azure Test Plans: Supports manual and exploratory testing.
- Azure Artifacts: Helps teams manage and share software packages.
- GitHub Actions: Supports automated workflows and can integrate with Azure deployment services.
- Azure Monitor: Provides monitoring and diagnostic capabilities for Azure resources.
For example, a development team can use Azure Pipelines to test an application whenever new code is submitted and deploy an approved version to Azure App Service.
Azure DevOps may be especially useful for professionals who already work with Microsoft technologies, including .NET, Windows Server, Azure, and GitHub.
You can explore the official Microsoft Azure DevOps documentation.
What Is AWS DevOps?
AWS DevOps refers to using DevOps practices and AWS cloud services to automate software development, deployment, infrastructure management, and monitoring.
Unlike Azure DevOps, which is a named suite of development services, AWS DevOps typically involves combining several AWS services.
Common AWS tools include:
- AWS CodePipeline: Automates software release workflows.
- AWS CodeBuild: Builds and tests source code.
- AWS CodeDeploy: Automates application deployments.
- AWS CloudFormation: Provisions and manages infrastructure through code.
- Amazon CloudWatch: Monitors cloud resources, logs, and application performance.
- Amazon Elastic Container Service (ECS): Runs and manages containerized applications.
- Amazon Elastic Kubernetes Service (EKS): Provides managed Kubernetes infrastructure.
- AWS Systems Manager: Supports operational management and automation.
For example, an AWS DevOps engineer may create a pipeline that builds application code, runs tests, and deploys a containerized application to Amazon ECS.
AWS DevOps is relevant for professionals interested in cloud infrastructure, distributed systems, containerization, and automated operations.
Learn more from the official AWS DevOps resources.
Azure vs AWS DevOps: Key Differences
Although Azure and AWS support many of the same DevOps principles, their tools and cloud services are different.
The following table compares common capabilities.
| Feature | Azure DevOps / Azure | AWS DevOps / AWS |
|---|---|---|
| Cloud provider | Microsoft Azure | Amazon Web Services |
| CI/CD tools | Azure Pipelines, GitHub Actions | CodePipeline, CodeBuild, CodeDeploy |
| Source control | Azure Repos, GitHub | GitHub and other Git-based repositories |
| Infrastructure as Code | Bicep, ARM, Terraform | CloudFormation, AWS CDK, Terraform |
| Monitoring | Azure Monitor, Application Insights | Amazon CloudWatch, AWS X-Ray |
| Container services | Azure Kubernetes Service | Amazon ECS, Amazon EKS |
| Automation | Azure Automation, pipelines, scripting | AWS Systems Manager, pipelines, scripting |
| Certification pathway | Microsoft DevOps Engineer Expert | AWS DevOps Engineer – Professional |
| Useful background | Microsoft Azure, .NET, Git, scripting | AWS infrastructure, Linux, Git, scripting |
Important: Neither platform is automatically better for every learner.
Both support automation, scalable infrastructure, and continuous software delivery. Many organizations also use tools such as GitHub, Jenkins, Docker, Kubernetes, and Terraform across cloud environments.
Learning these transferable technologies can help professionals work with more than one cloud provider.
Azure DevOps Training in Canada: What Should You Learn?
A well-structured Azure DevOps training course should help learners understand both the technical tools and the processes used in real development projects.
Important learning areas include:
1. Git and Source Code Management
Learn how developers store code, manage branches, review changes, and collaborate through Git repositories.
2. Continuous Integration and Delivery
Understand how Azure Pipelines and GitHub Actions automate software builds, testing, and deployment.
3. Infrastructure as Code
Explore how tools such as Bicep and Terraform can help provision and manage cloud resources.
4. Containers and Application Deployment
Understand Docker fundamentals and the role of container orchestration tools such as Kubernetes.
5. Cloud Monitoring and Security
Learn how to monitor applications, manage access, and integrate security checks into deployment workflows.
6. Practical DevOps Projects
Apply your knowledge by building a pipeline that automatically tests and deploys a sample application.
Hands-on projects are particularly valuable because they give learners opportunities to demonstrate what they understand.
Students interested in developing these skills can explore Toronto Innovation College’s Azure and AWS DevOps Training Program.
AWS DevOps Training: Important Skills and Tools
AWS DevOps training focuses on using cloud services to automate application delivery and infrastructure operations.
Learners should understand the following areas:
1. AWS Cloud Fundamentals
Become familiar with AWS Identity and Access Management (IAM), networking, compute, storage, and core infrastructure services.
2. Automated Deployment Pipelines
Learn how AWS CodePipeline, CodeBuild, and CodeDeploy work together to support software delivery.
3. Infrastructure Automation
Understand how CloudFormation, AWS CDK, and Terraform help teams create repeatable infrastructure configurations.
4. Monitoring and Troubleshooting
Use CloudWatch logs, metrics, and alerts to identify application or infrastructure issues.
5. Containers and Cloud Operations
Explore container management with Amazon ECS or EKS and learn how applications operate in cloud environments.
6. Security and Reliability
Understand permissions, configuration management, backups, monitoring, and resilient deployment strategies.
A practical AWS project could involve deploying a web application through an automated pipeline and configuring CloudWatch to monitor its performance.
For students evaluating AWS DevOps training in Canada, practical experience with cloud services is as important as learning their names and functions.
Azure vs AWS DevOps Certifications in 2026
Professional certifications can help demonstrate knowledge of cloud technologies and DevOps practices.
However, certification requirements differ, and they can change over time.
Microsoft Certified: DevOps Engineer Expert
Microsoft offers the DevOps Engineer Expert certification for professionals who design and implement DevOps solutions.
The certification includes:
- Exam AZ-400: Designing and Implementing Microsoft DevOps Solutions
- A qualifying Microsoft certification prerequisite
- Skills covering source control, CI/CD, security, monitoring, and DevOps processes
Microsoft identifies Azure Administrator Associate or Azure Developer Associate as qualifying certification paths. Because individual exams and certifications can be retired or updated, candidates should verify the currently accepted route before booking.
Passing AZ-400 alone does not necessarily award the full expert-level credential.
Check the official Microsoft DevOps Engineer Expert certification page for current requirements.
AWS Certified DevOps Engineer – Professional
AWS offers the DevOps Engineer – Professional certification to assess advanced AWS operations and automation knowledge.
The DOP-C02 exam covers areas such as:
- Software development lifecycle automation
- Infrastructure as Code and configuration management
- Resilient cloud solutions
- Monitoring and logging
- Incident response
- Security and compliance
AWS recommends substantial hands-on experience for candidates pursuing this professional-level certification.
Review the official AWS DevOps Engineer – Professional exam guide.
Which certification should you choose?
Choose a certification that matches the technologies you use or want to work with.
Beginners may benefit from developing cloud fundamentals and completing practical projects before attempting advanced DevOps certification exams.
Also remember that completing a training course and earning a vendor-issued certification are separate achievements.
DevOps Engineer Salary in Canada: What Can You Expect?
Salary is an important consideration when comparing Azure and AWS DevOps career paths.
However, earnings depend on several factors, including:
- Previous IT experience
- Knowledge of cloud architecture and automation
- Programming and scripting skills
- Employer and industry
- Location in Canada
- Job responsibilities
- Ability to manage production infrastructure
According to the Government of Canada’s Job Bank wage data for DevOps Engineers in Ontario, the provincial wage estimates are:
| Wage level | Hourly wage (CAD) |
|---|---|
| Low | $36.06 |
| Median | $56.73 |
| High | $88.00 |
Source: Government of Canada Job Bank, wage information updated November 19, 2025, using a 2023–2024 reference period.
These figures describe an occupational wage distribution. They are not starting salaries, guaranteed earnings, or separate Azure and AWS salary estimates.
There is no reliable basis for saying that one platform always pays more than the other.
For example, an experienced Azure engineer may earn more than an entry-level AWS engineer, or vice versa.
When comparing employment opportunities, review current job descriptions in Toronto, the Greater Toronto Area, and other Canadian markets. Look at which platforms and technical skills employers actually request.
DevOps Career Opportunities in Canada
Learning DevOps practices can support several IT career pathways.
Common roles related to these skills include:
DevOps Engineer
Develops and maintains automated software delivery processes, infrastructure configurations, and monitoring systems.
Cloud Engineer
Supports cloud resources, application hosting, networking, and infrastructure operations.
Build and Release Engineer
Creates and manages processes for building, testing, packaging, and releasing applications.
Site Reliability Engineer (SRE)
Focuses on improving the reliability, performance, and operation of software systems.
Platform Engineer
Develops internal tools and platforms that help software teams deploy and operate applications efficiently.
Cloud Automation Engineer
Uses scripting and infrastructure automation to reduce manual cloud administration tasks.
These positions differ in experience requirements. Some are specialized roles that employers expect candidates to enter after gaining software development, system administration, or infrastructure experience.
Training can help build relevant skills, but it does not guarantee a job or immediate entry into an advanced role.
Is Azure or AWS Better for DevOps Beginners?
If you are new to cloud computing, both Azure and AWS can be suitable starting points.
Your existing knowledge may help determine which platform feels easier to learn.
Azure may be a practical choice if you:
- Already work with Microsoft products and services
- Have experience with Windows Server, .NET, or Azure
- Want to explore Azure Pipelines and GitHub Actions
- Plan to work with organizations using Microsoft cloud infrastructure
AWS may be a practical choice if you:
- Are interested in Linux and cloud infrastructure
- Want to explore AWS-based application deployment
- Enjoy working with distributed systems and infrastructure automation
- Plan to target organizations that use AWS services
Learning both Azure and AWS
Some professionals choose to develop skills across both platforms.
This can be useful because the principles of Git, CI/CD, monitoring, containers, security, and infrastructure automation apply in multiple environments.
However, beginners do not need to master two cloud platforms simultaneously.
A sensible approach is to develop the fundamentals, practise on one cloud environment, and then expand to the second platform.
Hands-On DevOps Projects That Can Strengthen Your Portfolio
Practical experience can make your learning more meaningful.
Instead of studying only definitions, build small projects that demonstrate automation and troubleshooting.
Project 1: Automated Azure Application Deployment
- Store a sample application in a Git repository.
- Create an Azure Pipeline or GitHub Actions workflow.
- Configure automated build and test steps.
- Deploy the application to an appropriate Azure service.
- Document how the pipeline works and how failures are handled.
Project 2: AWS CI/CD Pipeline
- Create a simple web application.
- Configure a source repository and AWS build process.
- Create an automated deployment workflow.
- Deploy the application to a suitable AWS service.
- Monitor the deployment through CloudWatch.
Project 3: Infrastructure as Code
- Create a basic cloud environment using Terraform or another IaC tool.
- Store the infrastructure configuration in Git.
- Document the deployment steps.
- Explain how the resources can be updated or removed safely.
These projects can help learners demonstrate technical understanding through a GitHub portfolio, project documentation, or technical interviews.
Remember to monitor cloud resource usage and costs when practising on Azure or AWS.
How DevOps Connects to Data Engineering and AI
DevOps is also relevant to other technology specializations.
Data engineering teams use automated processes to build, test, and deploy data pipelines. AI teams use related practices to manage machine learning models and applications.
These areas include:
DataOps
Applies automation, testing, monitoring, and collaborative workflows to data systems.
MLOps
Uses software engineering and operational practices to help manage machine learning model development and deployment.
Cloud Data Engineering
Focuses on building and maintaining data storage, transformation, and processing systems.
Learners interested in these fields can explore Toronto Innovation College’s Azure Data Engineer Training Program through its course listings or learn about the Diploma in Artificial Intelligence.
Important certification update: The Microsoft DP-203 data engineering exam retired in March 2025, and DP-100 retired in June 2026. Students should check Microsoft’s current certification catalogue rather than relying on older exam guides.
These specializations can complement DevOps skills, but each requires additional technical knowledge beyond basic CI/CD.
How to Choose the Right Azure or AWS DevOps Course in Canada
Before enrolling in a training program, compare more than the course title.
Consider the following questions:
Does the course cover practical skills?
Look for learning activities involving repositories, CI/CD pipelines, scripting, infrastructure automation, and deployment.
Does the curriculum match your experience?
Beginners may need foundational cloud computing, Linux, networking, or Git training before advanced DevOps topics.
Are the learning outcomes clear?
Review which technologies are included and what projects learners will complete.
Does the course explain certification pathways accurately?
Certification exams and prerequisites change. Confirm whether the curriculum covers relevant current exam objectives.
Can the training support your career goals?
Choose learning topics that align with the types of roles and employers you want to pursue.
Are the schedule and delivery format suitable?
Consider course duration, instructor support, online learning arrangements, and opportunities to practise.
Toronto Innovation College offers an Azure and AWS DevOps Training Program covering DevOps fundamentals, source control, CI/CD, containerization, infrastructure automation, and cloud technologies.
Review the program page for details and contact the college to confirm the latest schedule, fees, and curriculum.
Frequently Asked Questions About Azure vs AWS DevOps
1. Which is better for a DevOps career: Azure or AWS?
Both Azure and AWS can support DevOps careers. Azure may align well with Microsoft-based environments, while AWS may suit professionals interested in AWS infrastructure. The better option depends on your background, job goals, and employer requirements.
2. Can beginners learn Azure or AWS DevOps?
Yes. Beginners can start by learning Git, Linux basics, networking, scripting, and cloud fundamentals. They can then progress to CI/CD tools, infrastructure automation, and deployment projects.
3. Is coding required for DevOps?
Programming expertise varies by role, but scripting and basic coding skills are valuable. Python, Bash, PowerShell, and YAML are commonly useful when automating tasks and configuring pipelines.
4. Which DevOps certification should I pursue?
Microsoft DevOps Engineer Expert and AWS DevOps Engineer – Professional are advanced pathways. Your choice should depend on your current experience, cloud skills, and professional goals. Always check official prerequisites.
5. Does AWS DevOps pay more than Azure DevOps in Canada?
Not necessarily. Salaries vary by experience, responsibilities, location, and employer. There is no universal salary advantage for one platform.
6. Can I learn Azure and AWS DevOps together?
Yes. Many DevOps principles apply across both platforms. Beginners may find it easier to learn one platform first and later expand their skills.
7. How long does it take to learn DevOps?
Learning time depends on your starting knowledge, study schedule, and practice. Someone with software development or system administration experience may progress faster than a complete beginner. Advanced professional skills generally require ongoing hands-on experience.
8. Is DevOps a good career option in Canada?
DevOps skills are relevant to cloud infrastructure, software delivery, automation, and platform operations. However, job availability varies by location and employer, and training alone does not guarantee employment.
9. What is the difference between Azure DevOps and AWS DevOps?
Azure DevOps is a Microsoft suite of development services. AWS DevOps generally refers to applying DevOps methods through AWS services such as CodePipeline, CodeBuild, CodeDeploy, and CloudWatch.
10. Where can I study Azure and AWS DevOps in Canada?
Toronto Innovation College offers an online Azure and AWS DevOps Training Program. Prospective students can review the curriculum and contact the college for current enrollment information.
Start Your Azure and AWS DevOps Training with Toronto Innovation College
Choosing between Azure and AWS does not need to be complicated.
Both platforms support valuable cloud computing and DevOps practices. Instead of focusing only on which certification or platform is more popular, consider which skills match your background and the work you want to do.
Strong DevOps foundations in Git, CI/CD, cloud infrastructure, containers, automation, and monitoring can support long-term professional development.
At Toronto Innovation College (TIC), learners can explore cloud training focused on both Azure and AWS technologies.
The college’s Azure and AWS DevOps Training Program covers topics such as source control, deployment pipelines, infrastructure automation, and cloud operations.
Ready to explore your DevOps learning options?
Explore the Azure and AWS DevOps Training Program or contact Toronto Innovation College to learn more about the course, schedule, fees, and admission process.
Toronto Innovation College is registered as a career college under the Ontario Career Colleges Act, 2005. Program details, certification requirements, and availability should be confirmed before enrollment.