Google IT automation with Python

Description

This professional program provides a comprehensive foundation in Python programming, automation, and software development practices. The curriculum is designed to prepare participants for real-world challenges, equipping them with the skills to write clean, efficient, and maintainable code while automating complex tasks and system operations. The program begins with a crash course on Python, where students learn the basics of the language, including syntax, data types, loops, and functions. This foundational knowledge is essential for understanding more advanced topics later in the course. Following this, students learn how to use Python to interact with operating systems, enabling them to manipulate files, directories, and system processes. This part of the curriculum introduces key libraries and modules that facilitate system-level programming. Students then move on to troubleshooting and debugging techniques. They learn how to identify, diagnose, and resolve issues within Python code, an essential skill for developers. This section emphasizes best practices for error handling, debugging tools, and code testing. Configuration management and cloud integration are introduced to prepare students for roles where cloud-based infrastructure is essential. Participants learn to automate system configurations and manage cloud resources, giving them a competitive edge in modern development and operations environments. This module introduces key concepts of Infrastructure as Code (IaC) and related tools. The curriculum also covers the use of APIs to enable software systems to communicate and interact. Students learn to create, consume, and work with APIs, enhancing their ability to build integrated software solutions. The program further emphasizes version control with Git and GitHub, providing students with essential skills in collaborative development, source control, and software versioning. To consolidate their learning, students undertake a capstone project focused on automating real-world tasks using Python. This hands-on project allows participants to apply all the skills they’ve acquired throughout the program. They develop an end-to-end automation solution that demonstrates their proficiency in Python, API usage, configuration management, and system automation. By the end of the program, participants are prepared to work as Python developers, automation engineers, or DevOps professionals.