Are you looking for the Best Online DevOps Courses?… If yes, you are in the right place. I have listed the 7 Best Online DevOps Courses and Certifications from various platforms in this article.
Now, without any further ado, let’s get started-
Best Online DevOps Courses
1. Become a Cloud DevOps Engineer– Udacity
Rating- 4.6/5
Time to Complete- 4 months (If you spend 10 hours per week)
In this Nanodegree program, you will learn the fundamentals of cloud computing while being introduced to computing power, security, storage, networking, messaging, and management services in the cloud.
Then you will learn how to deploy the underlying infrastructure components that provide security and services to our servers by writing scripts using CloudFormation, AWS’ tool for Infrastructure as Code.
In this Nanodegree, you will gain essential knowledge and put it into practice as you learn about Continuous Integration and Continuous Deployment.
In the end, you will learn to create and deploy a Kubernetes cluster, configure Kubernetes autoscale, and load test a Kubernetes application.
Throughout this Nanodegree, you will work on the following 5 projects-
- Deploy a Static Website on AWS
- Deploy a High-Availability Web App Using CloudFormation
- Build an automated CI/CD Pipeline for UdaPeople
- Operationalize a Machine Learning Microservice API
- Capstone Project
Extra Benefits-
- You will chance to work on real-world projects with industry experts.
- You will get Project feedback from experienced reviewers.
- You will also get Technical mentor support.
Who Should Enroll?
- Those who have intermediate knowledge of Javascript, and familiarity with object-oriented programming, web development with HTML and CSS, and the Linux Command Line.
Interested to Enroll?
If yes, then check out the course details here- Become a Cloud DevOps Engineer
2. Introduction to DevOps– Coursera
Rating- 4.8/5
Time to Complete- 9 hours
In this course, first, you will understand the basics of DevOps and the essential Characteristics of DevOps. Next, you will learn about how to work in small batches to reduce waste and results in delivering useful applications quickly.
You will also learn some essential terms related to DevOps such as Taylorism and Working in Silos, Infrastructure as Code, Continuous Integration, Continuous Delivery, the organizational impact of DevOps, Vanity metrics vs. actionable metrics, and how to analyze DevOps-based scenarios.
Who Should Enroll?
- Those who are new to DevOps and want to learn from the basics.
Interested to Enroll?
If yes, then check out the course details here-Introduction to DevOps
3. DevOps Beginners to Advanced– Udemy
Rating- 4.6/5
Time to Complete- 51 hours
In this course, you will learn the basics of the command line, and hands-on demonstrations of many tools & technologies. You will also learn Linux, AWS, Bash & Python Scripting, Jenkins, Ansible, Docker, Kubernetes, Cloudformation, Terraform, and more.
You will also understand how various technologies work together in DevOps. And you will get a firm understanding of DevOps Processes, Tools & Technologies.
Extra Benefits-
- You will get a Certificate of Completion.
- Along with this, you will get lifetime access to the course material.
Who Should Enroll?
- Those who have basic Computer Knowledge.
Interested to Enroll?
If yes, then check out all details here- DevOps Beginners to Advanced
4. Machine Learning DevOps Engineer– Udacity
Rating- NA
Time to Complete- 4 months (If you spend 10 hours/week)
In this Nanodegree program, there are 4 courses and 4 projects. First, you will learn how to write clean, modular, and well-documented code, how to correctly use try-except blocks to identify errors, how to create unit tests to test programs, etc.
Next, you will understand Machine Learning projects and the fundamentals of MLOps. This Nanodegree will also cover data and model versioning, how to set up Continuous Integration using GitHub Actions, and how to set up Continuous Deployment using Heroku.
In the end, you will learn how to train and deploy the model, how to create API endpoints that enable users to access model results, metrics, and diagnostics, and how to set up APIs with multiple, complex endpoints.
Extra Benefits-
- You will chance to work on real-world projects with industry experts.
- You will get Project feedback from experienced reviewers.
- You will also get Technical mentor support.
Who Should Enroll?
- Those who already know Python and Machine Learning.
Interested to Enroll?
If yes, then check out the course details here- Machine Learning DevOps Engineer
5. DevOps on AWS Specialization– Coursera
Rating- 4.8/5
Time to Complete- 3 months (If you spend 3 hours per week)
This specialization program will teach you how to use the combination of DevOps philosophies, practices, and tools to develop, deploy, and maintain applications in the AWS Cloud.
In the first course, you will build a highly available, scalable, and cost-effective application step-by-step. The first course is a fundamental-level course and will build your competence, confidence, and credibility with practical cloud skills that help you innovate and advance your professional future.
In the second course, you will focus on coding, building, and testing parts of the workflow and learn topics such as source control, best practices for Continuous Integration, and how to use the right tools to measure code quality, by identifying workflow steps that could be automated.
In the next two courses, you will learn how to improve the deployment process with DevOps methodology, and also some tools that might make deployments easier, such as Infrastructure as Code, or IaC, and AWS CodeDeploy.
In the end, you will learn how to use AWS Services to control the architecture in order to reach a better operational state.
Extra Benefits-
- You will earn a Shareable Certificate.
- Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.
Who Should Enroll?
- Anyone can enroll. No prior experience in the AWS cloud is required.
Interested to Enroll?
If yes, then check out all details here- DevOps on AWS Specialization
6. Cloud DevOps using Microsoft Azure– Udacity
Rating- NA
Time to Complete- 3 months(If you spend 5 hours/week)
In this Nanodegree program, there are 3 courses and 3 projects. First, you will understand the benefits of using a DevOps model, identify stakeholders for your work, and create and manage resources in Microsoft Azure.
In the next module, you will how to use modern Agile project management methodologies, how to implement Kaizen or continuous improvement in their organization, how to build continuous delivery pipelines using Azure Pipelines, etc.
At the end of this program, you will understand how to use terraform and IaC concepts to standardize the creation and configuration of a test environment, how to use a CI/CD pipeline to execute automated testing tasks, how to use selenium to create functional UI tests, etc.
Extra Benefits-
- You will chance to work on real-world projects with industry experts.
- You will get Project feedback from experienced reviewers.
- You will also get Technical mentor support.
Who Should Enroll?
- Those who have a prior working knowledge of Python, Linux shell scripting, and cloud.
Interested to Enroll?
If yes, then check out the course details here- Cloud DevOps using Microsoft Azure
7. AWS Certified DevOps Engineer Professional– Udemy
Rating- 4.7/5
Time to Complete- 20.5 hours
In this course, you will learn CICD overview, CloudFormation, Elastic Beanstalk, Lambda, API Gateway, ECS Clusters, CloudTrail, Kinesis, SSM, ASG, etc.
Overall, this is a good course to learn DevOps.
Who Should Enroll?
- Those who have 1 year of experience in AWS.
Interested to Enroll?
If yes, then check out the course details here- AWS Certified DevOps Engineer Professional
And here the list ends. I hope these Best Online DevOps Courses will help you to learn DevOps. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.
Conclusion
In this article, I tried to cover the 7 Best Online DevOps Courses and Certifications. If you have any doubts or questions, feel free to ask me in the comment section.
And if you know of any of the Best Online DevOps Courses and Certifications, let me know in the comment section.
All the Best!
Enjoy Learning!
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.