Google IT Automation with Python Professional Certificate Course Syllabus

Overview: This comprehensive, career-focused program equips beginners with Python programming and IT automation skills through hands-on labs and real-world projects. Spanning approximately 105 hours, the course is designed to be completed in 3–6 months with a commitment of about 10 hours per week. Learners will gain proficiency in Python scripting, system administration, version control, debugging, cloud automation, and real-world task automation, culminating in a capstone project that integrates all learned skills. No prior coding experience is required, making it ideal for those entering IT and automation fields.

Module 1: Crash Course on Python

Estimated time: 20 hours

• Python syntax and semantics
• Data types and variables
• Control flow and loops
• Functions and code modularity
• Introduction to object-oriented programming

Module 2: Using Python to Interact with the Operating System

Estimated time: 25 hours

• File system navigation and manipulation
• Process management and system calls
• Regular expressions for text processing
• Command-line interface (CLI) automation
• Python integration with OS services

Module 3: Introduction to Git and GitHub

Estimated time: 10 hours

• Version control fundamentals with Git
• Creating and managing repositories
• Branching, merging, and pull requests
• Collaborative workflows on GitHub
• Code review and best practices

Module 4: Troubleshooting and Debugging Techniques

Estimated time: 16 hours

• Analyzing logs and error messages
• Debugging strategies and tools in Python
• Error handling and exception management
• Writing and running unit tests
• Using Python testing frameworks

Module 5: Configuration Management and the Cloud

Estimated time: 14 hours

• Introduction to configuration management with Puppet
• Writing and applying Puppet manifests
• Automating cloud infrastructure setup
• Monitoring system health and performance
• Alerting and reporting mechanisms

Module 6: Automating Real‑World Tasks with Python

Estimated time: 20 hours

• Processing images using PIL (Python Imaging Library)
• Consuming web APIs with Python
• Building scalable automation scripts
• Integrating multiple automation tools and modules
• Final capstone project: Real-world automation solution

Prerequisites

• No prior programming experience required
• Basic computer literacy
• Access to a computer with internet connection

What You'll Be Able to Do After

• Write Python scripts to automate system administration tasks
• Interact programmatically with operating systems for file and process control
• Use Git and GitHub for version control and collaborative development
• Troubleshoot and debug code effectively using systematic techniques
• Build and deploy real-world automation solutions using Python, APIs, and cloud tools