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DevOps and Infrastructure Automation Bootcamp: From CI/CD to AI-Driven Workflows

Master the complete DevOps lifecycle using Git, Jenkins, Docker, Kubernetes, Ansible, Puppet, and Nagios. Learn to build automated CI/CD pipelines, manage containerized environments, and explore next-generation AI automation with LangGraph state graphs.

edureka!
edureka!@edurekain
Published Jun 24, 2026
Updated Jun 24, 2026
DevOps and Infrastructure Automation Bootcamp: From CI/CD to AI-Driven Workflows
6h 3m
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Course Overview

Master the entire DevOps lifecycle from source control to continuous monitoring. This comprehensive bootcamp is designed to bridge the gap between software development and operations, enabling you to deliver software faster, more reliably, and with fewer errors. You will gain hands-on experience with industry-standard DevOps tools and explore cutting-edge automated workflows.

What You'll Learn

  • DevOps Lifecycle: Understand the phases from continuous development to continuous monitoring.
  • Version Control: Manage source code and collaborate effectively using Git and GitHub.
  • Continuous Integration: Automate builds and test suites using Jenkins pipelines.
  • Containerization & Orchestration: Package applications with Docker and scale them with Kubernetes.
  • Configuration Management: Automate infrastructure provisioning with Ansible and Puppet.
  • System Monitoring: Ensure high availability and performance with Nagios.
  • AI-Driven DevOps Automation: Learn how to build state-managed AI agents using LangGraph to automate complex, cyclical operations tasks.

Target Audience

  • Software developers, system administrators, QA engineers, and IT professionals looking to transition into a DevOps role.
  • Python developers, AI engineers, and LLM practitioners interested in building stateful AI automation agents.

Prerequisites

  • Basic familiarity with Linux command-line operations and fundamental software development concepts.
  • For the AI-automation section: Intermediate Python, basic understanding of LLMs, and familiarity with LangChain concepts.

Tools & Technologies

  • Version Control: Git, GitHub
  • CI/CD: Jenkins
  • Containers & Orchestration: Docker, Kubernetes
  • Configuration Management: Ansible, Puppet
  • Monitoring: Nagios
  • AI Automation: Python, LangGraph, LangChain, OpenAI API, Tavily API

Course Content

6Chapters13Lessons6Quizzes
1

Introduction to DevOps and Software Development Lifecycles

2 lessons · 17mQuiz
1

Evolution of Software Development: From Waterfall to Agile

11:21
2

Introduction to DevOps and the Continuous Lifecycle Stages

5:41
2

Source Code Management with Git and GitHub

3 lessons · 1h 26mQuiz
1

Introduction to Version Control Systems and Git

20:06
2

Git Fundamentals and Local Operations

35:39
3

Advanced Git: Branching, Merging, and Rebasing

30:52
3

Continuous Integration and Build Automation with Jenkins

2 lessons · 29mQuiz
1

Understanding Continuous Integration and the Pre-CI Era

9:44
2

Mastering Jenkins: Plugins, Architecture, and Distributed Builds

20:02
4

Containerization and Orchestration with Docker and Kubernetes

2 lessons · 1h 55mQuiz
1

Introduction to Containerization and Docker

24:24
2

Container Orchestration with Kubernetes

90:52
5

Configuration Management with Ansible and Puppet

2 lessons · 1h 28mQuiz
1

Automating Infrastructure with Ansible Playbooks

56:17
2

State Enforcement with Puppet Manifests

32:38
6

Continuous Monitoring and Operations with Nagios

2 lessons · 26mQuiz
1

Understanding Continuous Monitoring and Nagios Fundamentals

14:23
2

Nagios Architecture and Monitoring Remote Linux Hosts

11:49

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