LinuxBEGINNER

DevOps Foundations

Master production-grade cloud and DevOps skills with hands-on labs and professional roadmaps.

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What you'll learn

Implement production-grade Cloud architecture
Master Site Reliability Engineering (SRE) patterns
Build automated CI/CD pipelines for Kubernetes
Implement centralized observability & monitoring
Apply security-first (DevSecOps) principles
Optimize cloud costs and platform reliability

Course Description

The DevOps Foundations pathway is a comprehensive 12-week program designed to take participants from zero to job-ready in the core disciplines of modern DevOps engineering. This pathway serves as the bedrock for anyone pursuing a career in DevOps, cloud engineering, or platform operations.

Participants will build deep practical knowledge across the full DevOps toolchain — from understanding DevOps culture and cloud computing fundamentals through to containerization, CI/CD pipelines, infrastructure automation, and configuration management. Every module is built around real-world use cases and hands-on projects that mirror what engineers do on the job daily.

The program is structured as two 3-hour sessions per week over 12 weeks. Each session combines concept teaching with practical labs, ensuring participants leave every class with something working and deployable.

Learning Outcomes

By the end of this course, participants will be able to:

  • Explain the principles, culture, and practices of DevOps and how they improve software delivery

  • Set up and manage AWS infrastructure including EC2, VPC, S3, IAM, and load balancers

  • Write Python scripts to automate infrastructure and operational tasks

  • Manage Linux servers, perform system administration, and write Bash scripts for automation

  • Provision and manage cloud infrastructure using Terraform (Infrastructure as Code)

  • Manage source code and collaborate effectively using Git and GitHub

  • Containerize applications using Docker and manage multi-container environments with Docker Compose

  • Orchestrate containerized workloads using Kubernetes

  • Build and manage CI/CD pipelines using Jenkins to automate build, test, and deployment processes

  • Manage server configuration at scale using Ansible

Course Curriculum

10 Sections · 0 Lessons
1

Intro to DevOps and Cloud Computing

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2

Python Programming for DevOps

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3

Version Control with Git and GitHub

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4

Linux and Bash Scripting

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5

Infrastructure as Code with Terraform

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6

Containerization with Docker

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7

Kubernetes for Container Orchestration

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8

CI/CD Pipeline with Jenkins

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9

Ansible for Configuration Management

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10

DevSecOps Fundamentals & AI in DevOps

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