Python for Test Automation with AI-Assisted Learning
Training Format:
Course Description
This 3-day intensive course is designed for testers and QA engineers who want to leverage Python for test automation. Using AI-assisted learning techniques throughout, participants will learn Python fundamentals, explore standard and third-party libraries, and dive into test automation frameworks. The course focuses on practical, hands-on experience to build effective test automation skills.
Target Audience
This course is ideal for:– QA engineers and testers looking to automate their testing processes– Software developers interested in improving their testing skills– IT professionals wanting to transition into test automation roles
Day One
Day 1: Python Language
Module 1: Introduction to Python
– Why Python?– History and Python releases– Python implementations– Python 2 vs Python 3– Coding style guidelines (PEP 8)– Python package management and virtual environments
Module 2: Python Fundamentals
– Keywords and operators– Basic data types and data structures– Control structures– Exceptions– Built-in functions
Module 3: Advanced Python Concepts
– Functions, classes, modules, and packages– Lambda functions– List comprehensions– Generators– Decorators– Data classes
Day Two
Day Three
Conclusion
Throughout this course, AI-assisted learning techniques will be used to enhance the learning experience, provide real-time coding assistance, and help generate test cases. By the end of the course, participants will have a solid foundation in Python for test automation, hands-on experience with key libraries and frameworks, and the skills to develop efficient, maintainable test suites.
Duration: 24 hours, delivered over 3 days (8 hours/day)Format: Instructor-led online or onsite training
Prerequisites
Basic understanding of programming concepts– Familiarity with software testing principles– No prior Python experience required, but helpful
Miguel Miranda
Our instructor, Miguel Miranda, has more than 20 years of experience as a software consultant specializing in Python and other programming languages. He has considerable experience in using AI-based tools for software development and process automation.
