Python Foundations: Learn Python for DevOps, ML & More

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About Course

Start your Python journey here! This foundational course is designed to help DevOps professionals, cloud engineers, and aspiring ML practitioners build a strong Python programming base. Through hands-on projects, you’ll master core Python concepts, automate tasks, work with files and APIs, and prepare yourself for advanced tracks such as Python for DevOps, Python for Machine Learning, and Agentic DevOps. Whether you’re new to coding or looking to add Python to your toolkit, this is the perfect starting point to unlock real-world Python skills.

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Membership Required

You must be a member to access this content.

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What Will You Learn?

  • Master Python fundamentals — variables, data types, loops, conditionals, functions, and more
  • Build real-world Python projects — calculators, games, shopping lists, contact books, and file-based apps
  • Work with key Python data structures — lists, dictionaries, tuples, sets, JSON, and CSV files
  • Handle files and automate tasks — read/write files, log data, generate reports
  • Interact with APIs & perform web scraping — build simple apps that use APIs and scrape web data
  • Gain a solid foundation for specialized tracks — DevOps scripting, automation, cloud workflows, machine learning, and agentic DevOps

Course Content

Week 1: Python Fundamentals & Core Concepts
Build a solid foundation in Python programming through hands-on projects. You’ll master core concepts like variables, data types, strings, lists, conditionals, loops, and functions. By the end of this module, you'll be ready to write Python scripts that automate simple tasks — the first step toward real-world automation for DevOps, ML, and beyond.

Week 2: Intermediate Python — Data Structures, Functions & Robust Code
Take your Python skills to the next level by working with advanced data structures, building reusable functions, handling files, and writing robust, error-resistant code. You'll gain confidence in building practical tools and automation scripts — essential skills for any modern DevOps engineer or ML practitioner.

Week 3: Working with Data — Files, APIs & Automation
Learn how to use Python to automate real-world data workflows. You’ll build projects that read and write files (text, CSV, JSON), interact with APIs, work with dates and times, and even perform basic web scraping. These are critical skills for automating cloud workflows, DevOps pipelines, and data-driven applications.

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