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Technology & IT
Automation testing/selenium
Learn from : Dr Aparna vk
Dedicated and results-oriented, research, and academic administration e, Generative AI, Large Language Models (LLMs), Python programming, and Data Science. Skilled in, FDPs, workshops, webinars, and research mentoring. Exper, mentoring students, contributing to institutional, and advancing research throug, machine learning, LLM, Agentic AI and artificial inte, corporate professionals, and academic institutions. pr, creating hands-on projects, and simplifying complex conce, r, sql, data visualization, and model deployment techniqu, ORGANISATIONAL EXPERIENCE
Course Language: Tamil,English,Telugu,Malayalam
Course Fee
$22.00
Course Fee
$22.00
Instructor Bio:
Dedicated and results-oriented Assistant Professor with 12 years of teaching, research, and academic administration experience. Experienced academician and technical trainer with expertise in Quantum Machine Learning, Generative AI, Large Language Models (LLMs), Python programming, and Data Science. Skilled in conducting technical training programs, FDPs, workshops, webinars, and research mentoring. Experienced in implementing hybrid quantum-classical machine learning models and delivering industry-oriented AI education.Passionate about delivering high-quality education, mentoring students, contributing to institutional growth, and advancing research through publications and academic collaborations. With hands-on expertise in delivering data science, machine learning,LLM,Generative AI,Agentic AI and artificial intelligence training to students, corporate professionals, and academic institutions. proficient in designing curriculum, creating hands-on projects, and simplifying complex concepts for diverse learners. adept in python, r, sql, data visualization, and model deployment techniques. strong communicator with a passion for continuous learning and mentoring and QA domain. ORGANISATIONAL EXPERIENCE
VIEW FULL PROFILE4 Weeks
60
DAILY
Post Course Support
- Assignments
- Forums
- Quizzes
- Resources
- Recorded Session Videos
Course Description:
Week 1: Python Programming for Automation
Day 1
- Introduction to Automation Testing
- SDLC & STLC
- Manual vs Automation Testing
- Selenium Architecture
- Python Installation
- VS Code / PyCharm Setup
- Google Chrome & ChromeDriver
Day 2
- Python Basics
- Variables
- Data Types
- Input & Output
- Operators
Day 3
- Conditional Statements
- Loops
- Pattern Programs
Day 4
- Functions
- Modules
- Packages
- Exception Handling
Day 5
- OOP Concepts
- Classes
- Objects
- Inheritance
- Polymorphism
Mini Project: Student Management System in Python
Week 2: Selenium Fundamentals
Day 6
- Selenium Installation
- WebDriver
- Browser Commands
- Navigation Commands
Day 7
- Locators
- ID
- Name
- Class Name
- Tag Name
- Link Text
- Partial Link Text
- CSS Selector
- XPath
Day 8
- XPath
- Absolute XPath
- Relative XPath
- XPath Axes
Day 9
- Web Elements
- Text Box
- Radio Button
- Checkbox
- Buttons
Day 10
- Dropdowns
- Multi-select
- Select Class
Mini Project: Login Automation
Week 3: Advanced Selenium
Day 11
- Waits
- Implicit Wait
- Explicit Wait
- Fluent Wait
Day 12
- Alerts
- Frames
- Windows
- Tabs
Day 13
- Mouse Actions
- Hover
- Right Click
- Double Click
- Drag & Drop
Day 14
- Keyboard Actions
- ActionChains
Day 15
- File Upload
- File Download
- Screenshots
Mini Project: E-commerce Automation
Week 4: Test Automation Framework
Day 16
- PyTest Introduction
Day 17
- Fixtures
- Markers
- Assertions
Day 18
- Page Object Model (POM)
Day 19
- Data-Driven Testing
- Excel Integration
- CSV
Day 20
- Logging
- Reports
- HTML Reports
Mini Project: OrangeHRM Automation Framework
Week 5: Advanced Framework
Day 21
- Configuration Files
Day 22
- Utilities
- Reusable Methods
Day 23
- Screenshots on Failure
Day 24
- Database Testing
- SQLite
- MySQL
Day 25
- Email Reporting
Mini Project: Employee Management Automation
Week 6: AI-Powered Test Automation
Day 26
- Introduction to AI in Testing
- Generative AI for QA
Day 27
- Using ChatGPT to Generate:
- Test Cases
- Test Scenarios
- Test Data
Day 28
- AI-Assisted Selenium Script Generation
- Prompt Engineering for Test Automation
Day 29
- GitHub Copilot for Faster Automation
- AI Code Review
Day 30
- Self-Healing Locators
- AI-Based Element Identification
- AI Test Maintenance Concepts
Mini Project: AI-assisted automation for a sample web application
Week 7: API + CI/CD + Version Control
Day 31
- Git Basics
Day 32
- GitHub
- Branching
- Pull Requests
Day 33
- Jenkins
- CI/CD Basics
Day 34
- API Testing using Postman
Day 35
- API Testing using Python (
requests)
Mini Project: UI + API Validation
Week 8: Real-Time Projects & Interview Preparation
Day 36
- Framework Design
Day 37
- Hybrid Framework
Day 38
- BDD with Behave
- Gherkin Syntax
Day 39
- Cross-Browser Testing
- Parallel Execution
Day 40
- Selenium Grid Overview
- Cloud Testing (BrowserStack/Sauce Labs)
Day 41
- Agile Methodology
- Scrum Process
- JIRA
Day 42
- Defect Life Cycle
- Bug Reporting
Day 43
- Resume Building for Automation QA
Day 44
- GitHub Portfolio
- Project Documentation
Day 45
- Mock Interview
- Coding Assessment
Capstone Projects
- OrangeHRM Automation Framework
- SauceDemo End-to-End Automation
- Demo Blaze Automation
- OpenCart E-commerce Testing
- API + UI Automation Project
- AI-Generated Test Case Validation
Tools Covered
- Python
- Selenium WebDriver
- PyTest
- Behave (BDD)
- Page Object Model (POM)
- SQLite
- MySQL
- Pandas
- OpenPyXL
- Git
- GitHub
- Jenkins
- Postman
- Requests
- HTML Reports
- Allure Reports
- ChatGPT
- GitHub Copilot
- VS Code / PyCharm
- BrowserStack (overview)
Course Curriculum:
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