DevOps Practices

Master DevOps in our hands-on course focused on automation, CI/CD, and cloud tools — streamline development, boost deployment speed, and support agile innovation.

Duration 48 Hours
Level Advanced
Overview
Objectives
Careers
Curriculum

Course Overview

The "DevOps Practices" course provides an in-depth exploration of DevOps principles, methodologies, and tools aimed at optimizing the software development lifecycle. Students will learn how to bridge the gap between development and operations teams, fostering collaboration and enhancing productivity through the automation of processes.

Key Highlights

  • Continuous Integration and Continuous Delivery
  • Infrastructure as Code (IaC)
  • Hands-on projects and real-world applications
  • Career support and placement assistance
  • Understanding cloud platforms like AWS, Azure, and Google Cloud.

Course Details

Duration 48 Hours
Level Advanced

Course Objectives

Upon completion of this program, you will have gained the following skills and knowledge:

Fundamental concepts of DevOps, including collaboration, automation, and continuous improvement

Design, build, and manage Continuous Integration and Continuous Delivery pipelines to automate the software release process

Configure and deploy infrastructure and applications on cloud providers like AWS, Azure, or Google Cloud

Implement monitoring and logging for performance tracking and system reliability

Career Opportunities

Graduates of this program are prepared for a variety of career paths, including:

DevOps Engineer

Bridging the gap between development and operations teams by automating processes, managing CI/CD pipelines, configuring servers, and ensuring smooth code integration and delivery

Cloud Engineer

Build scalable systems, automating manual operations, monitoring performance, and ensuring system reliability, availability, and uptime.

Automation Engineer

Writing scripts and building tools to automate repetitive tasks, such as testing, deployments, configuration management, and monitoring

CI/CD Pipeline Specialist

Streamlined the build, test, and deployment workflows to deliver code changes rapidly and reliably to production.

Platform Engineer

Builds and manages internal platforms and developer tools that support the software development lifecycle.

Course Curriculum

Our comprehensive curriculum is designed to build your skills progressively:

Git and Version Control

3 credit
  • Introduction to Git: Repositories, Commits, Branching, and Merging
  • Remote Repositories (GitHub, GitLab), Pull Requests
  • Git Workflows: Git Flow, GitHub Flow
  • Conflict Resolution, Rebase, and Cherry-Picking.
  • Best practices for version control in collaborative environments.

DevOps Principles and CI/CD Pipelines

3 credit
  • Introduction to DevOps: Culture, Processes, and Tools.
  • Continuous Integration (CI) and Continuous Deployment (CD) concepts.
  • Overview of CI/CD pipelines: Automating build, test, and deploy processes.
  • Git-based workflows in DevOps.

Containerization with Docker

3 credit
  • Introduction to Docker: Containers vs Virtual Machines.
  • Docker Architecture: Images, Containers, Docker Daemon, and Docker CLI.
  • Writing Dockerfiles for containerization of applications.
  • Managing Docker Containers: Networking, Volumes, and Linking.
  • Docker Compose: Managing multi-container applications.

YAML for Configuration Management

3 credit
  • Understanding YAML syntax and structure.
  • Writing configuration files in YAML for Docker Compose.
  • Using YAML to define Kubernetes objects (pods, deployments, services).
  • YAML best practices for configuration management in DevOps pipelines.

Kubernetes for Container Orchestration

3 credit
  • Kubernetes Basics: Architecture, Nodes, Pods, and Services.
  • Managing containerized applications in Kubernetes.
  • Deployments: Rolling Updates, Rollbacks, Scaling, and Self-healing.
  • Networking in Kubernetes: Cluster IP, NodePort, and Load Balancers.
  • Persistent Volumes and Storage in Kubernetes.
  • Kubernetes Autoscaling and Resource Management.

Continuous Integration and Deployment with Jenkins

3 credit
  • Jenkins Overview: Setting up Jenkins for CI/CD.
  • Jenkins Pipelines: Declarative vs Scripted Pipelines.
  • Configuring Jenkins Jobs: Integrating with Git, Docker, and Kubernetes.
  • Automating Docker container builds and deployments using Jenkins.
  • Webhooks and automated triggers in Jenkins.

Ready to Get Started?

Begin your journey towards becoming a software technology professional. Enrollments are open for upcoming sessions.