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Rahul Shetty

Learn Everything You Need to Know About Python Selenium Automation including Framework Even If You've Never Programmed Before in Python

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Learn Everything You Need to Know About Python Selenium Automation including Framework Even If You've Never Programmed Before in Python

Do you know? Python is the popular choice for implementing Artificial Intelligence and Web Security in any Applications .  This made QA industry to shift its focus to Python for implementing Test Automation to support AI Projects. So this course will help you in making you master in  Python  Basics  + Selenium Python + Pytest Unit Testing Framework +Page object Design Patterns + Excel Data driven Frameworks + Log4J Logging +Cross browser testing + Interview Prep +GitHUB +LifeTime Query Support  On course completion You will be Mastered in Selenium Automation Testing  with Python and can implement Successfully it in your work place or will surely land on High Paying Job 

    So what makes this course Unique in the Market?

We assume that students have no experience in automation / coding and start every topic from scratch and basics.

Examples are taken from  

  Topics includes: 

  1. Python Basics

  2. Python Programming examples

  3. Python Data types

  4. Python OOPS Examples

  5. Selenium Locators

  6. Selenium Multi Browser Execution

  7. Python Selenium API Methods

  8. Advanced Selenium User interactions

  9. End to end Practise Examples to Automate

  10. PyTest - Unit Testing Framework

  11. PyTest Fixtures

  12. PyTest Parameterization

  13. PyTest Annotations, Command Line Arguments

  14. Python PyTest Reports

  15. Log4J Logging Python

  16. Page object Model Design Pattern

  17. End to end Framework design from scratch

  18. Python Data driven Framework using Excel

  19. Pyxl Examples with Selenium Integration

  20. Jenkins CI Integration

  21. GITHUB Version control Management

All the Best. Happy Testing :)

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What's inside

Learning objectives

  • At the end of this course, you will get complete knowledge on python automation using selenium webdriver
  • You will be able to implement python test automation frameworks from scratch with all latest technlogies
  • Complete understanding of python basics with many practise examples to gain a solid exposure
  • You will be learning python unit test frameworks like pytest which will helpful for unit and integration testing
  • Complete understanding on selenium python api methods with real time scenarios on live websites
  • "last but not least" you can clear any interview and can lead entire selenium python projects from design stage

Syllabus

Why Python Testing and its Importance?
Why Choose Selenium Python for Test Automation needs?
Glance on Selenium Features
Complete Installation Guide for Python and Selenium Learning
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Please download the code from resources

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Starts with Python basics and progresses to advanced Selenium techniques, making it suitable for individuals with varying levels of programming experience
Covers Pytest, a popular unit testing framework, which is essential for building robust and maintainable test suites in Python projects
Includes topics like Page Object Model and data-driven frameworks, which are industry-standard design patterns for creating scalable and maintainable automation projects
Explores Jenkins CI integration and GitHub version control, which are crucial for continuous integration and collaborative development in modern software projects
Emphasizes practical examples and end-to-end projects, which allows learners to apply their knowledge and build real-world automation solutions
Teaches Selenium with Python, which is a common and in-demand skill for automating web application testing across different browsers

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Reviews summary

Hands-on python selenium automation for beginners

According to learners, this course provides a solid foundation (positive) in Selenium WebDriver with Python, suitable even for those with no prior programming experience (positive). Students particularly appreciated the step-by-step approach to Python basics (positive) and the focus on building practical automation frameworks (positive) like PyTest and implementing the Page Object Model (positive). While the course is generally well-received (positive), a few reviewers noted that environment setup (warning) could be challenging and some sections might feel slightly outdated (warning) or too slow for intermediate learners. Overall, it's considered a valuable resource for those looking to start their journey in Python test automation.
Pace is ideal for beginners, potentially slow for others.
"The initial Python basics part took too long for me as I already knew Python."
"Perfect pace for learning everything step by step as a complete beginner."
"Felt rushed in the advanced framework section after a slower start on basics."
Excellent for those new to Python and automation.
"As someone new to Python, the initial sections were perfect for getting up to speed."
"The course starts right from scratch, which was great for me and easy to follow."
"Explains Python basics clearly before diving into the Selenium part, making it accessible."
Provides hands-on experience building automation frameworks.
"Loved the section on building the end-to-end framework from scratch; very practical."
"Gave me the skills I needed to apply automation techniques directly at my job."
"Covers important design patterns like Page Object Model and data-driven approaches."
Some learners faced difficulties with initial setup.
"I struggled a bit with getting the environment configured correctly with all dependencies."
"Setup instructions could be clearer or updated for newer versions."
"Had trouble with driver versions not matching the browser versions I had installed."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Selenium Webdriver with PYTHON from Scratch + Frameworks with these activities:
Review Python Basics
Solidify your understanding of Python fundamentals before diving into Selenium. This will make learning the Selenium-specific code much easier.
Browse courses on Python Basics
Show steps
  • Review data types, loops, and functions.
  • Practice writing simple Python scripts.
  • Complete online Python tutorials or exercises.
Automate the Boring Stuff with Python
Gain a deeper understanding of Python automation concepts. This book will help you apply Python to real-world scenarios, including web automation.
Show steps
  • Read relevant chapters on web scraping and Excel automation.
  • Work through the example projects in the book.
Selenium Locators Practice
Master Selenium locators (XPath, CSS selectors) through targeted exercises. This will improve your ability to identify and interact with web elements.
Show steps
  • Find elements on various websites using different locators.
  • Practice writing robust and maintainable locators.
  • Use browser developer tools to inspect HTML structure.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow Selenium Python Tutorials
Refine your Selenium skills by following advanced tutorials. This will expose you to different approaches and best practices.
Show steps
  • Search for tutorials on specific Selenium topics (e.g., handling iframes, working with cookies).
  • Implement the code examples from the tutorials.
  • Adapt the code to your own automation projects.
Automate a Simple Web Application
Apply your Selenium knowledge by automating a real-world web application. This will solidify your understanding and build your portfolio.
Show steps
  • Choose a web application to automate (e.g., a login form, a search function).
  • Write Selenium scripts to interact with the application.
  • Implement assertions to verify the application's behavior.
  • Use a testing framework (e.g., pytest) to organize your tests.
Write a Blog Post on Selenium
Reinforce your learning by explaining a Selenium concept in a blog post. This will help you clarify your understanding and share your knowledge with others.
Show steps
  • Choose a Selenium topic to write about (e.g., page object model, data-driven testing).
  • Research the topic and gather information.
  • Write a clear and concise blog post with code examples.
  • Publish the blog post on a platform like Medium or your own website.
Contribute to a Selenium Project
Deepen your Selenium expertise by contributing to an open-source project. This will expose you to advanced techniques and collaborative development.
Show steps
  • Find an open-source Selenium project on GitHub.
  • Identify a bug or feature to work on.
  • Submit a pull request with your changes.
  • Participate in code reviews and discussions.

Career center

Learners who complete Selenium Webdriver with PYTHON from Scratch + Frameworks will develop knowledge and skills that may be useful to these careers:
Test Automation Engineer
A Test Automation Engineer develops and implements automated test scripts to verify software functionality. This course, with its emphasis on Python, Selenium, and test frameworks such as PyTest, helps to build a strong foundation for this role. The course covers key areas such as setting up test environments, writing automation scripts using Python and Selenium, and creating data driven frameworks with excel, which are all crucial for an automation engineer. Furthermore, the course offers experience with cross browser testing which is a critical skill for many test automation positions. The comprehensive coverage of Python, testing methodologies, and framework design in this course provides the skills to build and maintain robust and reliable automated testing solutions.
Python Automation Engineer
A Python Automation Engineer specializes in automating tasks and processes using Python programming. This course helps establish the role of a Python Automation Engineer, as it is entirely centered around Python automation, particularly with Selenium for web application testing. The course provides hands-on experience with Python basics, object-oriented programming, and data structures, all while building a foundation in test automation strategies and frameworks. The course also demonstrates how to use Python to handle logging, data driven tests, and cross browser tests, which an automation engineer would perform daily.
Software Developer in Test
A Software Developer in Test, often referred to as SDET, combines software development skills with testing expertise to build test infrastructure and automation tools. This course helps to become an SDET, as it directly teaches how to build testing infrastructure from scratch, and provides training in Python, Selenium, and testing frameworks so a candidate knows how to implement and maintain robust test frameworks. The course’s coverage of Python programming, object-oriented design, and data driven frameworks empowers an SDET to develop efficient and reliable test automation solutions. An SDET also needs to have an understanding of a variety of testing methodologies, which is covered in this course through PyTest.
Web Application Tester
A Web Application Tester focuses specifically on testing software that runs in web browsers. This course is very beneficial for a Web Application Tester, since it uses Selenium, a standard tool for this type of testing, with Python. The course covers a variety of practical skills such as writing automation scripts, using locators, and handling web elements. The course also covers implementing cross browser testing and unit testing with PyTest, which are necessary for a web application tester. The course's emphasis on end to end testing helps a web application tester learn to create comprehensive testing scenarios for complicated web applications.
Quality Assurance Engineer
A Quality Assurance Engineer focuses on preventing defects and ensuring software quality through various testing methods. This course helps a person become a Quality Assurance Engineer by providing a comprehensive understanding of how to implement automated tests using Python and Selenium. The course covers topics like setting up test environments, writing automation scripts, using locators, handling different elements, and creating end to end test cases. The course’s focus on unit tests using PyTest, design patterns, and logging also helps one learn how to apply test automation within a QA role. A QA engineer needs to be able to design, implement, and maintain test automation frameworks, and this course provides the necessary knowledge.
Automation Specialist
An Automation Specialist focus on building and implementing automated solutions across different types of applications. This course, with its focus on Python and Selenium, provides key skills needed for web automation. The course delves into building test automation frameworks and implementing with different elements, which makes it appropriate for an automation specialist. The course discusses how to use selenium to automate user interactions, implement end to end test cases, and utilize data driven approaches, all of which are important skills for an automation specialist looking to improve the speed and efficiency of processes.
Test Engineer
A Test Engineer is responsible for designing and executing tests to ensure the quality of software. This course may be useful for someone wanting to be a Test Engineer, because it offers intensive training in test automation using Python and Selenium. This course includes building test automation frameworks, applying different test techniques, and using unit test frameworks, which are essential skills for a test engineer. Furthermore, the course includes concepts like creating data driven tests and implementing logging, which will help a test engineer create and maintain robust and reliable tests for web applications.
Software Quality Analyst
A Software Quality Analyst assesses the quality of software products by identifying defects and ensuring that software meets requirements. This course may be helpful for someone looking to become a Software Quality Analyst, as it provides experience in automated testing, which is a key skill for identifying bugs and validating functionality. The course focuses on Python and Selenium, which are popular tools in the quality assurance field. The course also provides hands-on training in creating test automation frameworks and logging which will be useful for an analyst who wishes to apply test automation techniques in their work.
Automation Architect
An Automation Architect designs and develops automation frameworks and strategies within an organization. This role often requires an advanced degree. This course may help someone begin a career path as an Automation Architect as it provides a foundation in Python, Selenium, and test framework design. The course’s emphasis on creating frameworks from scratch and implementing data driven and logging strategies are relevant to designing testing infrastructure. The course will help someone who wishes to become an Automation Architect understand the technologies and strategies that they will one day design at an architectural level.
Robotic Process Automation Developer
A Robotic Process Automation Developer, or RPA Developer, creates bots to automate repetitive tasks. This course may be useful for an RPA Developer. The skills learned in Python programming and Selenium web automation could be applied to some RPA tasks in web based applications. The course might also help with developing customized solutions for web-based automation where specific needs are not met by standard Robotic Process Automation tools. The course's focus on data handling, end to end test cases, and logging allows a developer to build bots that can reliably automate a range of web processes.
Data Scientist
A Data Scientist gathers and analyzes data to extract meaningful insights. While this course is not directly related to data science, the Python programming skills and data manipulation techniques taught in this course may be useful to a data scientist. The course teaches Python basics, data types, and data driven frameworks which are foundational to working with data. A data scientist needs to know how to implement data driven tests, and the skills learned here can be transferred to data analysis and exploration.
Software Engineer
A Software Engineer designs and develops software applications. While the primary focus of this course is on test automation, the foundational Python programming knowledge and object oriented concepts covered in this course may be helpful for a software engineer. The course discusses object oriented principles, data types, and writing functions in Python, which are all fundamental skills for software development. A software engineer should have a foundation in Python programming, and this course may provide it.
System Administrator
A System Administrator is in charge of the maintenance and upkeep of computer systems. While this course might not be directly related to the role, the Python scripting knowledge may be useful to automate administrative tasks or monitor system performance. The course may provide an understanding of Python fundamentals such as data types and program flow, which may be useful for someone who wants to manage system infrastructure. However, the bulk of the course focuses on test automation with Selenium and not system administration, so the course may be useful for expanding administrator skills.
Artificial Intelligence Engineer
An Artificial Intelligence Engineer develops and deploys AI models. This course may be useful because a major focus of the course is Python, which is a very important programming language for AI development. However, the course does not focus directly on machine learning and other AI techniques. The course may be useful for an AI engineer to learn Python basics and apply automation skills to test AI applications.
Business Analyst
A Business Analyst analyzes data and processes to improve business operations. While not directly related, this course may be useful as it provides an introduction to Python programming. The course covers data types, program flow, and implementing user interactions using Python which can help a business analyst implement scripts to make their job easier. The course may provide a basic understanding of Python that may be useful to a Business Analyst to develop scripts that automate the parts of their job that are repetitive.

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Selenium Webdriver with PYTHON from Scratch + Frameworks.
Provides a practical introduction to Python programming with a focus on automating everyday tasks. It covers topics like web scraping, working with Excel spreadsheets, and sending email, all of which are relevant to Selenium automation. It's a great resource for beginners and provides hands-on examples to reinforce learning. This book is valuable as additional reading to provide more depth to the existing course.

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