AI-Powered DevOps Automation Bootcamp


DevOpsAI - Version:1
Description
AI for DevOps is a 5-day (40-hour), hands-on training program designed for beginner to intermediate DevOps practitioners. The course blends core DevOps practices—like CI/CD, Infrastructure as Code (IaC), and container orchestration—with cutting-edge AI tools to automate and enhance DevOps workflows. Students will build intelligent pipelines using tools like GitHub Copilot, Cursor, n8n, WinSurf, and Model Context Protocol (MCP), all within a local Kubernetes-based environment. Each day includes deep technical sessions, guided labs, and a final capstone project to demonstrate real-world DevOps automation powered by AI.
Intended audience
Beginner to intermediate DevOps engineers, SREs, and IT automation practitioners Developers interested in automating infrastructure and delivery pipelines Teams looking to integrate AI into DevOps workflows
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  • DevOps & Automation Fundamentals
    • Learning Objectives
    • Part 01: DevOps Introduction
    • Part 02: Automation & CI/CD Setup
    • Hands-On Labs
  • Infrastructure as Code & Workflow Automation
    • Learning Objectives
    • Part 01: IaC Deep Dive
    • Part 02: Workflow Automation with n8n
    • Hands-On Labs
  • AI Tools for DevOps (Copilot, Cursor, WinSurf, Prompting)
    • Learning Objectives
    • Part 01: AI-Powered Coding
    • Part 02: Prompt Engineering for DevOps
    • Hands-On Labs
  • AI Workflow Automation with MCP + n8n
    • Learning Objectives
    • Part 01: AI-Powered Coding
    • Part 02: Prompt Engineering for DevOps
    • Hands-On Labs
  • Advanced CI/CD, GitOps & Capstone Project
    • Learning Objectives
    • Part 01: Advanced CI/CD & GitOps
    • Part 02: Final Project
  • Basic familiarity with command line, scripting (e.g., Python, Bash), and YAML
  • Some prior experience with Git, containers, or CI tools is helpful but not mandatory
  • No prior AI or ML experience is required