Python for DevOps — Learning Roadmap

Follow the course in order:

1. Course overview — understand scope, prerequisites, and outcomes
2. Modules — work through tutorials module by module
3. Labs — hands-on practice after core lessons
4. Quizzes — check understanding before projects
5. Projects — portfolio builds that connect multiple skills
6. Capstone — end-to-end proof of production readiness
7. Interview preparation — role-specific questions and scenarios
8. Certifications — map lessons to industry exams

Modules

Module 1 · Fundamentals

• Install, venv, and Tooling

Module 2 · Basics

• Types and I/O

Module 3 · Control Flow

• Conditionals and Loops

Module 4 · Functions

• Parameters and Scope

Module 5 · Data Structures

• Comprehensions and Generators

Module 6 · Modules & Packages

• Modules, Packages, and Dependencies

Module 7 · File Handling

• pathlib, JSON, YAML, CSV

Module 8 · Error Handling

• Exceptions and Defensive Programming

Module 9 · OOP

• Classes and Dataclasses

Module 10 · Logging & Debugging

• Logging and Debugging

Module 11 · Configuration

• Configuration and Secrets

Module 12 · CLI Applications

• argparse, Click, and Typer

Module 13 · Linux Automation

• subprocess and psutil

Module 14 · REST APIs

• requests, Auth, and Resilience

Module 15 · Cloud Automation

• AWS, Azure, and GCP

Module 16 · Git Automation

• GitHub and GitLab

Module 17 · Docker Automation

• Docker SDK Automation

Module 18 · Kubernetes Automation

• Kubernetes Python Client

Module 19 · Infrastructure

• Terraform Automation

Module 20 · SSH Automation

• Paramiko and Fabric

Module 21 · Concurrency

• Threads, asyncio, and Futures

Module 22 · Testing

• Testing with pytest

Module 23 · Packaging

• pyproject.toml and Wheels

Module 24 · Production Engineering

• Production Engineering Patterns

Module 25 · Security

• Security for DevOps Python

Module 26 · AI for DevOps

• OpenAI, MCP, and LangChain

Module 27 · Troubleshooting

• Troubleshooting Python Automation