Learn Automation Testing With Python And Selenium Online: Free Course with AI Tutor & Certificate
Manual software testing is slow and prone to error. This free 14-hour Python automation course solves that by teaching you to write scripts that test web apps instantly. Across 15 modules, you'll master Python syntax, loops, and Object-Oriented Programming to build practical web scrapers.
What you'll learn in this Automation Testing With Python And Selenium course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Write, debug, and execute Python programs with confidence.
Utilize Python's core data structures like lists, tuples, dictionaries, and sets effectively.
Implement conditional logic, loops, and functions to solve real-world problems.
Work with external libraries, APIs, and file handling for practical applications.
Develop mini-projects showcasing skills in Python programming and problem-solving.
Automation Testing With Python And Selenium course syllabus
01 Introduction to Python
- What is Python and why is it popular
- How to install Python and set up IDE
- What are variables
- What are data types
- How to use input and output functions
- What are comments in Python
- How to use operators in Python
- What is type casting in Python
- How to write your first Python program
02 Python Syntax and Execution
- Python indentation and code blocks
- Whitespace significance in Python
- Semicolons
- Understanding Line Continuation in Python
- Understanding the Python execution model
- Running Python scripts vs interactive shell (REPL)
- Shebang line
- Command-line arguments with sys.argv
03 Conditional Statements and Loops
- What are conditional statements
- Nested If Else & elif Statements
- What are loops in Python (for loop)
- While Loop in Python
- How to use break and continue
- What is pass statement in Python
- How to use range() in loops
- What are nested loops in Python
- for Loop with else in Python
- while Loop with else in Python
- Comparing values using is vs ==
04 Working with Numbers and Strings
- Integer and float operations
- Complex numbers in Python
- String creation and manipulation
- String formatting
- String methods and functions
- Slicing and indexing strings
- Escape characters and raw strings
- Unicode and encoding basics
- Working with multiline strings
- Useful built-in functions (len, ord, chr, etc.)
05 Lists and List Comprehension
- What is a list in Python
- Accessing Elements of a List in Python
- Adding Elements to a List in Python
- How to modify list elements
- How to use list slicing
- What are list methods in Python
- How to use list comprehensions
- How to iterate through lists
- How to use nested lists
- Shallow vs Deep Copy of Lists
- Sorting Lists, Tuples, and Objects
06 Tuples and Sets
- What is a tuple in Python
- How to create and access tuples
- What are tuple methods
- How to use tuple packing and unpacking
- What is a set in Python
- How to add and remove set elements
- What are set operations (union, intersection, difference)
- How to use frozen sets
- Set comprehension
07 Dictionaries in Python
- What is a dictionary in Python
- How to update dictionary values
- How to use dictionary methods
- What are nested dictionaries
- How to iterate through dictionaries
- What are dictionary comprehensions
- How to use get() and setdefault()
- Merging dictionaries in Python 3.9+
- Converting dictionaries to JSON and vice versa
- Using defaultdict and OrderedDict from collections
08 Functions and Lambda Expressions
- What is a function in Python
- What are function arguments (positional, keyword, default)
- How to use variable length arguments (*args, **kwargs)
- What is return statement in Python
- How to use lambda functions
- What are recursive functions
- How to use docstrings in functions
- Nested functions and closures
- First-class functions
- Higher-order functions
- Function annotations and type hints
09 Modules, Packages, and Virtual Environments
- What is a module in Python
- How to import modules
- What are built-in modules in Python
- How to create your own module
- What is a package in Python
- How to use pip for installing packages
- Import Math Functions in Python
- How to use math and random modules
- How to use datetime module
- Creating and managing virtual environments
- Managing dependencies with requirements.txt
- Using __init__.py
10 File Handling in Python
- What is file handling in Python
- How to open and close files
- Reading/Writing Files
- How to append data in files
- What is file handling with “with” statement
- How to handle binary files
- Reading/writing CSV files using csv module
- Reading/writing JSON files
- Handling file paths using os and pathlib
11 Exception and Error Handling
- Exception Handling in Python
- How to use try and except blocks
- How to raise exceptions
- How to create custom exceptions
- How to handle multiple exceptions
- Logging errors using the logging module
- Assertion statements in Python
12 Object-Oriented Programming
- What is OOP
- Creating classes and objects
- Class vs instance attributes
- Using __init__ constructor
- Instance and class methods
- Inheritance
- Method overriding
- super() function
- Using __str__ and __repr__
- Encapsulation, Abstraction, and Polymorphism
- Magic/Dunder Methods in Python
- Static and class methods
13 Working with Libraries
- Python Packages & pip
- Exploring NumPy basics
- Working with Pandas DataFrames
- Data visualization with matplotlib
- Web scraping with requests and BeautifulSoup Part 1
- Web scraping with requests and BeautifulSoup Part 2
- APIs using requests and
- Datetime Module
14 Debugging and Testing
- Basic debugging using print()
- Using pdb (Python Debugger)
- Common debugging strategies
- Writing test functions with unittest Part 1
- Writing test functions with unittest Part 2
- Using pytest for advanced testing
- Mocking in Python tests
- Code coverage
15 Real-World Mini Projects
- Creating a Calculator
- To-Do App with file storage
- Weather app using API
- Contact book using dictionaries
- Quiz game using loops and conditions
- Rock Paper Scissors Game in Python
- Basic data analysis with CSV using pandas
Real-world projects you'll work on
Practice the exact kind of work Automation Testing With Python And Selenium professionals do on the job.
Automating User Login and Data Extraction for Amazon's Dynamic Web Pages
Building a Robust Test Automation Framework for Google's Search Engine Interface
Implementing Parallel Testing and Headless Browser Automation for Facebook's Interactive Features
Developing a Comprehensive Web Scraping Solution for Netflix's Dynamic Content and Recommendations
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Automation Testing With Python And Selenium course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Manual QA testers looking to transition into automated software testing roles.
- Computer science students in India wanting practical coding experience before graduation.
- IT professionals aiming to speed up repetitive web tasks using Python scripts.
- Career switchers seeking entry-level software testing roles at major tech companies.
Prerequisites
- No prior coding experience is required to begin this course.
- A basic understanding of how websites and web browsers function is helpful.
- A computer with internet access to write and execute Python code.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Automation Testing With Python And Selenium course: free, structured and job-focused
Repetitive manual tasks slow down development cycles and frustrate engineering teams. You can fix this by learning to write automated scripts that verify software works perfectly every time. This python automation testing course starts at the very beginning with a lesson on what is Python and why is it popular. From there, you will move through 15 structured modules covering essential topics like Python Syntax and Execution, Conditional Statements and Loops, and Tuples and Sets. Once you understand the basics, you'll advance to Object-Oriented Programming, Exception and Error Handling, and Working with Libraries.
LearnTube makes mastering these technical concepts simple and interactive. The platform organizes top YouTube tutorials into a structured path, so you don't have to guess what to watch next. After each of the 142 video lessons, an AI tutor tests your knowledge with a quick quiz to ensure you actually understand the material. Learning is entirely free, and you can add a paid certificate at the end to verify your new skills to employers.
You won't just watch videos; you'll build four real-world mini projects to solidify your knowledge. The curriculum includes Automating User Login and Data Extraction for Amazon's Dynamic Web Pages, and Developing a Comprehensive Web Scraping Solution for Netflix's Dynamic Content and Recommendations. You will also create a test automation framework for Google's search engine interface and implement parallel testing for Facebook's interactive features. By the end of the 14 hours, you will confidently write, debug, and execute Python programs for practical applications.
Jobs you can target after learning Automation Testing With Python And Selenium
Automation Testing With Python And Selenium is a gateway skill for some of the fastest-growing roles in tech.
Writes scripts to automatically test software features before release.
Builds backend applications and scripts for data processing tasks.
Verifies that web applications function correctly across different browsers.
Typical entry-level salary ranges in India as of August 2026. Actual compensation varies by city, company and experience.
Earn a Automation Testing With Python And Selenium certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Automation Testing With Python And Selenium course.
Is this python automation course completely free?
Yes, the entire curriculum is free to access. You can watch all 142 video lessons and take the AI quizzes at no cost. The only paid feature is the optional verified certificate available upon completion.
What is the value of the course certificate?
The paid certificate proves you completed all 15 modules and practical projects. You can attach it to your resume or LinkedIn profile to show employers your verified skills in Python programming and automated testing.
How does this differ from standard YouTube tutorials?
Instead of searching for random videos, this platform organizes the best content into a logical path. You also get an AI tutor that gives you a quiz after every single lesson to test your retention.
What software do I need installed for this course?
You will need to install Python and a code editor like VS Code on your computer. The course modules will guide you through setting up virtual environments and installing the necessary testing libraries.
Will I build real projects during the training?
Yes, you will complete four hands-on projects. These include automating user logins for Amazon, building a web scraping solution for Netflix, and creating a test framework for Google's search engine interface.
Is this selenium python tutorial self-paced?
Absolutely. All 14 hours of video content are pre-recorded, allowing you to learn whenever you have free time. You can pause, rewind, or rewatch the Python syntax and loop lessons as often as needed.
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