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Python for DevOps: The Complete Course

Learn to build robust, production-grade Python applications designed for DevOps workflows. Master automation scripting, testing frameworks, continuous integration and deployment pipelines, and modern development practices to become a confident DevOps engineer.
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225 Lectures

Comprehensive Knowledge

24 Hours

Video Duration

50+ Labs

Focus on Practice

Course Certificate

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What you are going to learn

Transform Your Development Workflow with Professional Python and DevOps Practices

This course takes you from Python fundamentals to building production-ready automation tools. You will develop a strong foundation in core Python concepts, then advance through topics that matter most in DevOps contexts: file operations and data formats, system and process automation, working with APIs, type hints, and automated testing with pytest. Each topic builds directly toward writing Python code that solves real infrastructure and operations challenges.

By the end of this course, you will be able to write clean, well-tested Python automation scripts, structure projects as installable packages, and ship them through a fully automated CI/CD pipeline covering linting, security scanning, multi-version testing, and package publishing. You will leave with both the language skills and the engineering practices needed to contribute Python automation confidently in a professional DevOps environment.

By completing this course, you will be able to:

  • Install, configure, and manage multiple Python versions
  • Create and manage virtual environments
  • Master Python data structures, control flow, and programming fundamentals
  • Write generators and lazy evaluation pipelines for memory-efficient processing
  • Design and implement decorators to extend function behavior
  • Handle exceptions and build custom exception classes
  • Configure structured logging with JSON formatters and log rotation
  • Apply regular expressions to search, extract, and transform text data
  • Automate system tasks using environment variables, file operations, and subprocess
  • Build resilient API clients using the requests library with retry logic
  • Apply type hints for better code quality and IDE support
  • Write comprehensive test suites with pytest, fixtures, parameterization, and mocking
  • Design and implement CI/CD workflows for continuous integration in Python projects

Course Contents

Frequently asked questions

Who is this course designed for?

This course is designed for multiple technical roles seeking to deepen their Python and DevOps expertise.
  • Software Engineers and Developers who want to improve their automation skills and transition into DevOps roles will gain practical knowledge for building reliable, maintainable scripts and tools that solve real operational problems.
  • DevOps Engineers and Systems Administrators transitioning to Python-based automation will learn advanced Python patterns, testing strategies, and CI/CD pipeline design that modernize infrastructure automation beyond shell scripting.
  • Platform Engineers and Technical Leads evaluating Python for automation and tooling will gain the knowledge to design scalable systems, implement proper testing practices, and establish reliable continuous delivery workflows.
  • Quality Assurance Engineers and Test Automation Specialists expanding their technical skills will master pytest testing patterns, test organization strategies, and integration with continuous delivery pipelines.

What prior knowledge do I need before taking this course?

You should have foundational programming experience with any language, as the course assumes comfort with basic programming concepts like variables, functions, loops, and conditional logic. Basic familiarity with the command line and terminal usage is highly recommended, as you will work extensively with Python tools, virtual environments, and GitHub Actions.

No prior experience with DevOps, CI/CD pipelines, or advanced Python concepts is required. The course starts from fundamentals and progressively builds your knowledge through hands-on exercises. You should be comfortable reading technical documentation and willing to follow along with code examples.

Will I incur costs (cloud provider/tools) while taking this course?

The entire course can be completed entirely for free using open-source tools and free services.

Free Components:
  • Python and PyEnv (completely free and open source)
  • All Python libraries and frameworks used in the course (free and open source)
  • Visual Studio Code or alternative editors (free)
  • GitHub (free tier allows unlimited public and private repositories)
  • pytest and all testing tools (free and open source)
  • GitHub Actions (free tier includes 2,000 minutes per month)

No Additional Costs: Unlike courses that require cloud platform subscriptions, this course uses only free tools. Your GitHub Actions usage will easily fit within the free tier. All code examples, projects, and exercises are designed to run on your local machine with zero external costs.You will not need to pay for any cloud services, repositories, or tools to complete this course.

Estimated costs: Completely free.

Do I need to be a command line expert to succeed in this course?

No, you do not need to be a command line expert, but you should be comfortable with basic terminal operations. The course includes guidance on terminal usage throughout, and you will naturally become more comfortable with the command line through extensive hands-on practice with Python tools, virtual environments, and GitHub Actions.

The focus of this course is on building Python skills and DevOps workflows, not on terminal mastery. You will learn the specific commands and workflows you need as you progress through the course. If you are completely new to the command line, spending a few hours learning basic navigation and file operations beforehand will help you get more value from the course.

What makes this course different from other Python or DevOps courses?

This course takes a unique approach by combining comprehensive Python education with real DevOps practices. Rather than teaching Python in isolation or focusing only on operations, this course shows how Python developers and DevOps engineers use Python together in professional environments.

The course emphasizes learning by doing through extensive hands-on projects, including a complete CI/CD pipeline project where you implement linting, formatting, testing, type checking, security scanning, automated release workflows, and package publishing. You will not just learn concepts, you will build the exact workflows used in production systems. The progression from fundamentals to advanced topics ensures you understand how concepts connect, and the focus on DevOps applications throughout keeps everything grounded in real-world relevance.