DevOps, often hailed as the backbone of modern software development and IT operations, has become a popular career choice in the twenty-first century. With organizations increasingly relying on technology to drive their operations, the demand for skilled DevOps professionals has skyrocketed worldwide.
In this blog, we will explore what the optimal syllabus for a DevOps professional course should be by keeping current industry trends under the microscope!
Following are the contents we cover in this comprehensive guide:
What is a DevOps Program?
Best DevOps Program Subjects
Electives and Specializations
Projects and Capstones
Best DevOps Program Topics
DevOps Topics in Detail
DevOps Course Syllabus
Why Is the Above Course Syllabus Preferable?
Job Opportunities After AWS Certification
Conclusion
FAQs
Key Takeaways:
- DevOps plays an important part in the software development life cycle
- Get a detailed overview of the extensive syllabus that covers all of the important DevOps subjects and topics
- Intellipaats DevOps program offers In-depth knowledge of all the DevOps principles with industry-recognized certification.
What is a DevOps Program?
When we talk about DevOps as a discipline, you might already be acquainted with the fact that it’s not a single skill. Rather, it’s a set of skills that cover everything from development to operations involved in the software development process. There are more than 20+ tools that one has to master to become a DevOps engineer, along with a deep understanding of administration, development, and operations practices.
Achieving this feat without a structured learning plan is difficult, and that is something the DevOps programs exist to resolve They provide a well-structured curriculum, extensive training sessions, doubt-resolving sessions, as well as hands-on practice labs. With all these features and an assisted learning journey, attaining the difficult feat of mastering DevOps becomes comparatively easy.
Best DevOps Program Subjects
The DevOps programs are designed in such a way that learners get robust skills and knowledge. The program covers a diverse range of subjects that are important for DevOps professionals. Here’s a detailed look at the key subjects typically covered in DevOps courses and training programs:
- Version Control
This subject mainly focuses on tools like Git, which is used to manage and track changes in software code. Using Git makes it easier to create and handle new versions of the product.
- Containerization
This subject covers container technologies like Docker and container orchestration platforms like Kubernetes. Professionals must learn how to convert applications into containers for easy deployment, scalability, and management.
- Configuration Management
This subject focuses on tools like Ansible, SaltStack, or Chef to automate the configuration and management of infrastructure resources, ensuring consistency and reliability across environments.
- Continuous Testing
Continuous Testing subject focuses on tools like Ansible, SaltStack, or Chef to automate the configuration and management of infrastructure resources, ensuring consistency and reliability across environments.
- Continuous Orchestration
Continuous Orchestration using Kubernetes refers to the process of automating and coordinating the deployment, management, and scaling of applications on a Kubernetes cluster. Kubernetes is an open-source container orchestration platform that allows developers to easily deploy, manage, and scale containerized applications.
Preparing for the DevOps job Interview? Check out our Top DevOps Interview questions prepared by industry professionals!
Electives and Specializations
Top programs often allow students to specialize in areas of interest through electives. These might include the choice of picking up some of the top cloud service providers’ platforms as a specialization. The top 3 options are Microsoft Azure, Google Cloud Platform, or AWS.
Projects and Capstones
Hands-on projects and capstone projects play a crucial role in the DevOps education journey by allowing students to apply their knowledge in practical, real-world scenarios. These projects provide hands-on experience in problem-solving, infrastructure automation, and collaboration, which are important skills for a successful DevOps career.
Best DevOps Program Topics
The structure of the DevOps course is the same whether you choose to enroll in an online course, a regular classroom, or a full-time university degree. Every DevOps curriculum should cover the following core topics.
Topics | Descriptions |
Version Control Systems | Git SVN and other tools for managing code versions and collaboration |
Continuous Integration | Automating code integration building for faster feedback |
Continuous Deployment | Automating the deployment process to deliver software efficiently |
Infrastructure as Code | Managing infrastructure using code for scalability and reproducibility |
Cloud Computing | Understanding cloud platforms like AWS, Azure, and GCP |
Containerization | Docker and container orchestration with Kubernetes |
Configuration Management | Managing and automating configuration of systems and resources |
Monitoring and Observability Tools | Tools and techniques for Monitoring, Logging and Troubleshooting |
Agile Methodologies | Agile principles and practices for iterative development and delivery |
DevOps Culture and Collaboration | Fostering collaboration and communication between teams |
Security in DevOps | Incorporating security measures and best practices in the DevOps workflow |
Performance Optimization | Techniques for optimizing system performance and scalability |
DevOps Tools and Automation | Exploring various tools for automation, testing, and deployment |
Infrastructure Provisioning | Provisioning and managing infrastructure resources in the cloud |
Continuous Testing | Automating testing processes for faster and more reliable releases |
Release Management | Strategies and tools for managing software releases and deployments |
Incident Management | Responding and resolving incidents in production environments |
High Availability and Disaster Recovery | Ensuring system availability Recovering from disasters |
Scripting and Programming Languages | Scripting languages like Python General-purpose languages like Java |
DevOps Metrics and Analytics | Collecting and analyzing data to measure and improve DevOps practices |
Collaborative Tools | Communication and collaboration tools like Slack Jira Confluence |
DevOps Topics in Detail
Here is a brief explanation of each topic that is commonly covered in the DevOps Program.
- Version Control
Version Control systems are for control systems like Git and SVN, which help developers manage code changes, track revisions, and collaborate effectively within the team. They offer features for branching, merging, and resolving conflicts. All these features ensure code integrity and enable smooth collaboration among developers.
- Continuous Integration
Continuous Integration refers to the build and unit testing phases of the software release process. With this approach, an automatic build and test are triggered with each commit. When continuous delivery is employed, code updates are automatically built, tested, and made ready for production release.
- Continuous Deployment
Continuous Deployment (CD) streamlines the release and deployment of software to production environments by automating the process. The CD helps with pipelines and setups using tools like Jenkins or GitLab. This allows teams to automatically package, test, and deploy application updates, facilitating frequent releases.
- Infrastructure as Code
Infrastructure as Code (IaC) used for infrastructure automation, and the IaC resources like servers, networks, and storage are managed with the use of code. Various IaC elements, such as operating systems and database connections, are important for any application environment. Tools like Terraform or AWS CloudFormation offer a declarative syntax to define infrastructure configurations, ensuring consistent and reproducible deployments across different environments.
- Cloud Computing
Cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) offer scalable and on-demand infrastructure resources. DevOps professionals need to understand cloud concepts to implement the CI/CD pipeline.
- Containerization
Containerization is a form of virtualization where an application’s components are combined into a single container image, enabling it to operate in a separate user space on a shared operating system. Containerization technologies like Docker enable packaging applications and their dependencies into lightweight, isolated containers.
- Configuration Management
Systems engineering’s configuration management approach ensures that a product’s characteristics remain constant throughout its life. Configuration management tools like Ansible, Chef, or Puppet automate the provisioning, configuration, and management of infrastructure resources and help manage configuration throughout the infrastructure.
- Agile Methodologies
Agile methodologies, such as Scrum or Kanban, promote approaches for software development. DevOps professionals should understand these methodologies to increase adaptability, and continuous improvement within cross-functional teams.
DevOps Course Syllabus
The experts at Intellipaat have curated a course syllabus that meets industry standards. Through this curriculum, students will develop an understanding of DevOps tools and services, along with practical examples. These are some common subjects taught in a DevOps course.
Module 1: Preparatory Session – Linux
1.1 Linux Preparatory
1.2 Introduction to Linux
1.3 Linux Basics
Module 2: Python for Automation Scripting
2.1 Introduction to Python and IDEs
2.2 Python Basics
2.3 Object-Oriented Programming
2.4 Python Automation Scripting
Module 3: Infrastructure Setup
3.1 AWS Account Creation
3.2 EC2 and LMS Walkthrough
Module 4: Introduction to DevOps
4.1 What is Software Development?
4.2 Software Development Life Cycle
4.3 Traditional Models for SDLC
4.4 Why DevOps?
4.5 What is DevOps?
4.6 DevOps Lifecycle
4.7 DevOps Tools
Module 5: Version Control with Git
5.1 What is Version Control?
5.2 Types of Version Control System
5.3 Introduction to SVN
5.4 Introduction to Git
5.5 Git Lifecycle
5.6 Common Git Commands
5.7 Working with Branches in Git
5.8 Merging Branches
5.9 Resolving Merge Conflicts
5.10 Git Workflow
Module 6: Containerization Using Docker
6.1 Understanding Docker Lifecycle
6.2 Components of Docker Ecosystem
6.3 Common Docker Operations
6.4 Creating a DockerHub Account
6.5 Committing Changes in a Container
6.6 Pushing a Container Image to DockerHub
6.7 Creating Custom Docker Images using Dockerfile
6.8 What are Docker Volumes?
6.9 Deploying a Multi-tier Application Using Docker Network
6.10 Using Docker Compose to Deploy Containers
Module 7: Configuration Management using Puppet
7.1 Need of Configuration Management
7.2 Configuration Management Tools
7.3 What is Puppet?
7.4 Puppet Architecture
7.5 Setting up Master-Slave using Puppet
7.6 Puppet Manifests
7.7 Puppet Modules
7.8 Applying Configuration using Puppet
7.9 Puppet File Server
Module 8: Configuration Management using Ansible
8.1 What is Ansible?
8.2 Ansible vs. Puppet
8.3 Ansible Architecture
8.4 Setting up Master-Slave using Ansible
8.5 Ansible Playbook
8.6 Ansible Roles
8.7 Applying Configuration using Ansible
Module 9: Continuous Testing using Selenium
9.1 What is Continuous Testing?
9.2 What is Maven?
9.3 Introduction to Selenium
9.4 Running Test Cases on Chromium Web Driver
9.5 What is Headless Mode?
Module 10: Continuous Integration with Jenkins
10.1 Introduction to Continuous Integration
10.2 Jenkins Master-Slave Architecture
10.3 Understanding CI/CD Pipelines
10.4 Creating an end-to-end automated CI/CD Pipeline
Module 11: Continuous Orchestration Using Kubernetes
11.1 Introduction to Kubernetes
11.2 Docker Swarm vs. Kubernetes
11.3 Kubernetes Architecture
11.4 Deploying Kubernetes using Kubeadm
11.5 Alternate Ways of Deploying Kubernetes
Module 12: Continuous Monitoring using ELK
12.1 Agenda
12.2 What is ELK?
12.3 Components of ELK
12.4 ELK Flow
12.5 Features of ELK
12.6 ELK Installation
Module 13: Terraform Modules & Workspaces
13.1 What is Infrastructure as Code?
13.2 IaC vs. Configuration Management
13.3 Introduction to Terraform
13.4 Installing Terraform on AWS
13.5 Basic Operations in Terraform: `init`, `plan`, `apply`, `destroy`
13.6 Terraform Code Basics
13.7 Deploying an End-to-End Architecture on AWS using Terraform
Why Is the Above Course Syllabus Preferable?
The DevOps training curriculum mentioned above has been carefully designed by industry experts to meet the needs of today’s job market. It covers all the important topics, starting with the basics and gradually progressing to advanced concepts of DevOps.
The course is designed in such a way that it is easy to follow and learn. It includes the latest technologies and trends in the DevOps field, ensuring that you stay up-to-date with industry practices.
Job Opportunities After DevOps Certification
After earning a DevOps certification, one can explore a wide array of job opportunities in the rapidly growing field of cloud computing and DevOps. Some potential roles include:
Roles | Salary in USA/ Annum | Salary in India/ Annum |
DevOps Engineer | $130,000 | ₹8.2 Lakhs |
Release Manager | $88,178 | ₹15.7 Lakhs |
Continuous Integration/Continuous Delivery (CI/CD) Engineer | $104,606 | ₹24.6 Lakhs |
Quality Assurance (QA) Engineer | $11,423 | ₹7.2 Lakhs |
DevOps Architect | $155,527 | ₹25.2 Lakhs |
Infrastructure Engineer | $132,104 | ₹10.4 Lakhs |
Containerization Engineer | $155,000 | ₹28.1 Lakhs |
Configuration Management Engineer | $121,819 | ₹5.2 Lakhs |
Conclusion
The course syllabus for DevOps offers a thorough road map for understanding and applying DevOps ideas in the ever-evolving technology industry. Aspiring professionals must prepare themselves for a variety of career roles, including DevOps Engineer and Automation Engineer, among others, by acquiring practical knowledge of DevOps tools, best practices, and real-world applications. With these DevOps skills, there is no shortage of opportunity as the field continues to grow.
FAQs
Can I learn DevOps in six months?
If you follow the DevOps engineer learning route listed above and have some basic networking and Linux administration knowledge, becoming a DevOps engineer takes roughly six months.
Is the DevOps course easy to learn?
Getting started with DevOps is not that difficult if you do want to change careers. It’s simple to begin learning DevOps. Just like any other activity, the first step is always the hardest. And you only need to concentrate on the foundations and the basics in this first phase.
Is DevOps good for freshers?
For recent graduates who are interested in working in IT but are unable to commit to entering the field full-time at first, DevOps can be a realistic career route. You can acquire a great deal of practical knowledge and still have plenty of time for extracurricular activities when working in DevOps.
Is DevOps full of coding?
Although developing code is a part of DevOps, it is not the main focus. Enhancing software development and IT operations procedures, teamwork, and automation are of greater importance. Though it’s a must for writing automation tools and scripts, coding is only one part of DevOps.
Who can study DevOps?
IT experts, software engineers, operations staff, project managers, quality assurance specialists, and IT managers interested in implementing DevOps methods can enroll in DevOps courses.