DevOps from Zero to Hero

Top Skills and Tools Covered

Course Overview

This comprehensive DevOps course is designed to equip participants with the skills needed to manage, deploy, and automate modern software delivery pipelines effectively. You will gain hands-on experience with industry-standard DevOps tools, cloud platforms, containerization, continuous integration/continuous deployment (CI/CD), and monitoring.

The course emphasizes practical, real-world applications, enabling learners to build, test, deploy, and monitor scalable infrastructure and applications with best practices in automation, collaboration, and cloud-native technologies.

Whether you prefer live instructor-led sessions or self-paced learning, this course provides the flexibility and depth to help you master DevOps practices and advance your career as a DevOps engineer.

Highlights

• Lab Support with Hands-On Projects
• CI/CD Pipeline Implementation
• Docker & Kubernetes Containerization
• Cloud Automation with AWS, Azure, & GCP
• Monitoring & Logging with Prometheus, Grafana & ELK Stack
• Resume Preparation & Mock Interviews

Course Objectives

• Linux & Shell Scripting: Build a strong foundation in Linux commands, shell scripting, and process management for automation.
• Version Control with Git: Master Git and GitHub workflows for efficient collaboration and source code management.
• CI/CD Pipelines: Learn to design and implement continuous integration and deployment pipelines using Jenkins and Git Actions.
• Containerization & Orchestration: Gain hands-on experience with Docker and Kubernetes to deploy and manage scalable containerized applications.
• Configuration Management & IaC: Automate infrastructure provisioning using Ansible, Terraform, and CloudFormation.
• Cloud Platforms: Learn cloud services (AWS, Azure, GCP) for deploying and managing applications in a cloud-native environment.
• Monitoring & Logging: Implement monitoring and centralized logging solutions using Prometheus, Grafana, and ELK Stack to ensure system reliability.
• Python for Automation: Use Python scripting for DevOps automation, including interacting with cloud APIs and system processes.
• Hands-On Projects: Apply learned skills through real-world projects, building automated pipelines and fully deployed applications.

Prerequisites

• Basic understanding of operating systems and command-line interfaces.
• Familiarity with programming or scripting languages (preferably Python or Bash).
• Knowledge of networking fundamentals and HTTP protocols.
• Basic understanding of software development life cycle (SDLC) concepts.
• Awareness of virtualization and cloud concepts is a plus.
• Basic understanding of version control systems like Git.

Course Curriculum