Python for DevOps: Mastering Real-World Automation

Master Python for DevOps and CI/CD with 23+ hours, 35+ quizzes and 25+ coding labs to build and deliver DevOps tools

What you'll learn
Master Python fundamentals from variables and data structures to functions and classes.
Write elegant and memory-efficient code using advanced features like generators and decorators.
Implement robust error handling with try/except blocks and custom exceptions to build resilient scripts.
Integrate structured JSON logging into your applications for improved observability and troubleshooting.
Confidently parse, process, and generate essential data formats like JSON, YAML, and CSV.
Automate file and directory management using modern pathlib and shutil.
Run external system commands securely and capture their output using the subprocess module.
Automate REST API interactions by sending GET/POST requests and handling authentication with the requests library.
Build resilient API clients that handle timeouts and implement retry logic with exponential backoff.
Write and run professional unit tests using the powerful pytest framework.
Use fixtures and parametrization to write clean, reusable, and data-driven tests.
Isolate dependencies and test complex interactions by creating and configuring mocks.
Structure your code professionally using Python modules and packages for better maintainability.
Build and distribute your own installable command-line tools using pyproject.toml and entry points.

Requirements
Familiarity with basic programming concepts (variables, loops, functions) from any scripting or programming language.
Basic experience using a command-line terminal for navigating directories and executing commands.
A high-level understanding of common DevOps concepts like APIs, CI/CD, and infrastructure automation.
The ability to install software on your computer, such as Python itself and third-party packages using pip.
A desire to move beyond simple shell scripts and build robust, maintainable, and production-ready automation.
Basic familiarity with git to clone the course repository and naviage different branches

Description
Welcome to the definitive Python for DevOps course! Are you ready to move beyond simple scripts and start building powerful, reliable, and production-grade automation? This course is meticulously designed to equip you, the DevOps engineer, SRE, or system administrator, with the essential Python skills to automate your infrastructure and streamline your DevOps workflows. It offers a highly practical curriculum, packed with quizzes and coding labs for you to practice everything we discuss in the lectures.Why Learn Python for DevOps?Python has become the universal language for infrastructure automation, and for good reason. Mastering it is a critical step for any modern DevOps professional. Here’s why:Automate Everything: Stop doing repetitive manual work! With Python, you can automate interactions with any REST API, manage cloud resources, update configurations, and orchestrate complex deployment pipelines. This course will teach you how to write scripts that do the work for you.Become a More Versatile and Valuable Engineer: Python is the "glue" that connects different systems. By learning to script interactions between your CI/CD tools, monitoring platforms, and cloud services, you become the go-to person for solving complex integration challenges, making you an indispensable part of your team.Write Robust, Maintainable Tools: A simple script might work once, but professional automation needs to be reliable. This course goes beyond basics to teach you how to write code that includes proper error handling, logging, and automated tests, ensuring the tools you build are trusted and easy to maintain.Boost Your Career: Proficiency in Python automation is one of the most in-demand skills in the tech industry. Adding these skills to your resume will make you a more attractive candidate for new roles, promotions, and higher-paying opportunities.By investing in this course, you’re not just learning a language; you’re acquiring a powerful toolkit to solve real-world DevOps problems efficiently and reliably.Why Choose This Course?This course is built from the ground up with a DevOps focus, offering a unique blend of core Python concepts and their practical application in infrastructure environments.Practical, DevOps-Focused Approach: We won't be building web apps or doing data science. Every lecture, example, and exercise is tailored to the world of DevOps. You'll work with files, APIs, system commands, and data formats like JSON and YAML - the things you use every day.Practice, Practice, Practice: We go beyond theoretical discussions and dive deep into coding everything we discuss. In addition to the video lectures, the course is packed with quizzes and coding labs that will help you solidify every concept we discuss!Go Beyond the Basics: This isn't just a "learn Python syntax" course. We dive deep into advanced, powerful features like generators for memory-efficient data processing, decorators for adding reusable functionality, context managers for safe resource handling, logging for production-grade, robust application logging, and much more! You'll learn to write code that is not just functional, but also elegant and efficient.Focus on Production-Ready Code: Learn how to build automation that you can trust in production. We dedicate entire sections to crucial topics like structured logging, advanced exception handling, implementing retries with exponential backoff, and, most importantly, automated testing with pytest.Which Skills Will You Acquire During This Course?As you go through this course, you will gain a comprehensive and valuable set of skills, including:Master Python Fundamentals: Build a rock-solid foundation in Python syntax, data structures (lists, dictionaries, sets), control flow, functions, and object-oriented principles.Leverage Advanced Python Features: Harness the power of generators for efficient data pipelines and decorators for adding cross-cutting concerns like logging and retries without cluttering your code.Write Resilient, Production-Grade Scripts: Implement structured logging for better observability and craft robust exception handling logic to make your automation fail gracefully.Ensure Reliability with Automated Testing: Master pytest to write effective unit tests. You'll learn everything from basic assertions and fixtures to advanced techniques like parametrization and isolating dependencies with mocks.Automate System and File Operations: Confidently manage the file system using modern pathlib and run external commands securely with the subprocess module.Interact With Any REST API: Master the requests library to send GET and POST requests, handle various authentication methods (basic, token), and build resilient clients that can handle timeouts and retries.Handle Essential Data Formats: Fluently parse, process, and generate the data formats that power DevOps: JSON, YAML, and CSV.Build and Package Professional Tools: Structure your Python projects with modules and packages, and use pyproject.toml to create and distribute your own installable command-line tools.Build complete CI/CD workflows for Python projects: Leverage GitHub Actions to build fully automated CI/CD pipelines to publish your Python libraries in the Python Package Index.Get ready to transform your capabilities and elevate your career. Let's start building powerful DevOps automation together!

Who this course is for:
DevOps Engineers, SREs, and Cloud Engineers aiming to master Python for building powerful and reliable automation., System Administrators looking to level up from shell scripting to building maintainable, production-grade tools in Python., Software Developers working in a DevOps culture who need to automate testing, deployments, and infrastructure management., Test Automation Engineers who want to leverage the full power of Python and pytest for creating robust test suites., IT Professionals and students aspiring to a career in DevOps, Cloud, or Site Reliability Engineering and who need a core practical skill., Anyone who wants to move beyond writing simple scripts and learn how to build professional, well-tested, and packaged Python applications.