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Launch Your Automation Testing Career — Even Without Coding Experience
Best Playwright Automation Testing Course in India with Job Support
- Learn Playwright with JavaScript/TypeScript from scratch
- Automate real-world web applications with end-to-end testing
- Build a job-ready automation testing portfolio
- Work on live projects (UI testing, API testing, CI/CD)
- Flexible batches: Weekday | Weekend | Fast-track
- Get resume, LinkedIn & interview preparation support
- Designed for freshers, manual testers & career switchers
WANT 4 - 12 LPA? JOB
Become an Automation Tester in 3–6 Months
Freshers Can Earn
₹3 LPA To ₹6 LPA
Book Free Demo Class
₹3 LPA To ₹6 LPA
Start Your Data Science Journey Today
★ Limited Offer
INR 35,000
INR 20,000
INR 35,000
INR 20,000
Overview of Playwright Automation Course
Our Playwright Automation course helps you build strong testing and automation skills through practical learning. Learn tools like Playwright, JavaScript/TypeScript, API Testing, and CI/CD while working on real-world automation projects with complete career support.
What You’ll Learn From Playwright Automation Course
- Start from basics and build strong automation skills (no coding background required)
- Learn Playwright with JavaScript/TypeScript for web automation testing
- Perform UI testing, API testing, and end-to-end automation
- Work on real-time automation projects to gain job-ready experience
Tools Covered For Playwright Automation Course Training
Playwright Framework
Java Script
Typescript
HTML
CSS
Postman
Node JS
Git & GitHub
Docker
Jenkins
Allure
AWS
Job-Focused Course with Add-on Benefits
Playwright Automation Training
Learn Playwright with JavaScript/TypeScript for real-world automation testing. Includes hands-on projects, UI & API testing, and end-to-end automation experience
★★★★★ 5.0 (225+)
Aptitude + Soft Skills Training
Build communication, logical thinking & interview confidence. Get placement-focused training to crack automation testing interviews.
★★★★★ 4.8 (200+)
Access AI mock interviews, LMS & job assistance tools.
Includes resume guidance and real interview preparation.
★★★★★ 4.9 (5530+)
What’s included?
Free Aptitude & Technical Skills Training
- Build logical thinking & problem-solving skills from basics
- Learn coding fundamentals (JavaScript) step-by-step (beginner friendly)
- Prepare for aptitude tests & technical interviews
Hands-On Projects with skill set for students
- Work on 10+ real-time automation projects + capstone projects
- Build job-ready portfolio with UI, API & end-to-end testing use cases
- Practice daily with live automation coding & guided sessions
AI-Powered Interview Practice Portal
- Practice interviews with AI feedback & performance tracking
- Improve communication with mock interviews & speaking practice
- Gain confidence with real interview simulation experience
What will you learn?
Automation Testing Foundation
⌄
Understand testing basics, tools & automation career roadmap
Testing Fundamentals⌄
- Manual vs Automation Testing
- SDLC & STLC concepts
- Types of testing (UI, API, Regression, Smoke)
Automation Basics⌄
- Why automation testing is needed
- Benefits of Playwright over Selenium
- Real-world automation use cases
Programming for Automation (JavaScript / TypeScript)
⌄
Build strong coding skills to write scalable automation scripts
JavaScript Basics Science⌄
- Variables, data types & operators
- Functions, loops & control statements
Advanced JavaScript⌄
- Async / Await & callbacks
- Error handling & debugging
- Working with APIs and JSON
TypeScript ⌄
- Types & interfaces
- Classes & OOP concepts
- Writing scalable automation code
Web Fundamentals for Testing
⌄
Understand DOM, HTML, CSS & browser behavior for accurate automation
HTML & DOM⌄
- Structure of web pages
- DOM elements & attributes
- Inspecting elements
CSS Selectors ⌄
- ID, Class & advanced selectors
- XPath basics
- Locators strategy
Browser Concepts ⌄
- Cookies & sessions
- Network requests
- Browser storage & caching
Playwright Core Automation
⌄
Learn end-to-end automation using Playwright for modern web apps
Playwright Setup ⌄
- Installation & project setup
- Playwright test runner
- Configuration & environments
UI Automation ⌄
- Locators & element handling
- Click, input, dropdown actions
- Assertions & validations
Navigation & Actions ⌄
- Page navigation & waits
- Handling alerts & popups
- File upload/download
Advanced Playwright Features
⌄
Handle complex scenarios like multi-tabs, frames, waits & debugging
Advanced Handling ⌄
- Frames & iFrames
- Multiple tabs & windows
- Shadow DOM handling
Synchronization⌄
- Implicit & explicit waits
- Handling dynamic elementss
- Retry mechanisms
Debugging & Optimization⌄
- Debug mode & logs
- Screenshots & videos
- Performance optimization
API Testing & Integration
⌄
Test backend APIs and integrate API + UI automation workflows
API Basics ⌄
- REST API concepts
- HTTP methods & status codes
- Request & response validation
API Automation⌄
- Using Playwright for API testing
- Data-driven API tests
- Chaining API requests
Integration ⌄
- UI + API combined testing
- Token-based authentication
- Real-world API workflows
Test Framework Design
⌄
Build scalable automation frameworks using POM & best practices
Framework Basics⌄
- Page Object Model (POM)
- Test structure & folder design
- Reusable functions
Advanced Framework⌄
- Data-driven framework
- Keyword-driven approach
- Environment configurations
Best Practices ⌄
- Code reusability
- Maintainability & scalability
- Clean coding standards
CI/CD & Automation Pipelines
⌄
Integrate automation tests with Jenkins, GitHub Actions & pipelines
CI/CD Basics⌄
- Introduction to CI/CD
- Automation in pipelines
- Benefits for testing
Tools Integration ⌄
- GitHub Actions setup
- Jenkins pipeline basics
- Running tests automatically
Advanced Pipelines ⌄
- Parallel test execution
- Environment-based execution
- Reporting in CI/CD
Version Control & Collaboration
⌄
Manage code using Git & GitHub for team-based development
Git Basics ⌄
- Git commands & workflow
- Branching & merging
- Commit best practices
GitHub ⌄
- Repository management
- Pull requests & code review
- Collaboration workflows
Advanced Usage ⌄
- CI integration with GitHub
- Managing automation projects
- Version control strategies
Cross-Browser & Cloud Testing
⌄
Run tests on multiple browsers and cloud platforms
Cross-Browser Testing ⌄
- Chrome, Firefox, WebKit
- Handling browser differences
- Responsive testing
Cloud Platforms ⌄
- BrowserStack / Sauce Labs
- Running tests on cloud
- Device testing
Scalability ⌄
- Parallel execution
- Distributed testing
- Test optimization
Get Real-Time Experience in Automation Testing Projects
Project 1
E-Commerce Website Automation
Automate user flows like login, cart, checkout, and order placement.
Project 2
Cross-Browser Testing Framework
Build a framework to run tests across Chrome, Firefox & WebKit.
Project 3
API Testing Automation
Automate REST APIs with request validation and response assertions.
Project 4
End-to-End Web Application Testing
Test complete workflows with UI + API integration using Playwright.
Project 5
CI/CD Automation Pipeline Integration
Integrate Playwright tests with Jenkins/GitHub Actions for automation pipelines.
Who Should Take a Data Science Certification Training
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Diploma Holders
Professionals from Other Fields
Salary Hike
Graduates with Less Than 60%
Job Roles For Data Science Certification Course
Data Scientist
Data Analyst
ML Engineer
NLP Engineer
AI / Generative AI Engineer
Computer Vision Engineer
Data Engineer
MLOps / AI Deployment Engineer
Career Support
Placement Assistance
Job Portal Access
Mock Interview Preparation
1 on 1 Career Mentoring
Career Oriented Sessions
Resume & LinkedIn Building
Get Advanced Data Science Certification
Earn an industry-recognized certification that validates your skills in Data Science, Machine Learning, AI & real-world projects. Complete hands-on projects and assessments to become job-ready.
🚀 Get Noticed by Top Employers
Build a strong profile with projects and certifications that attract recruiters.
💼 Real-World Project Experience
Work on 10+ industry projects & 5+ capstone projects to build a job-ready portfolio.
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Data Science Course FAQs – Course Details, Placement & Career Support
Find answers to the most searched questions about Data Science training, job roles, certifications, real-time projects, and career support. Designed to help beginners, freshers, and professionals choose the right path.
What does this Data Science course cover?
This Data Science course covers everything from basics to advanced topics including Python, SQL, Data Analysis, Machine Learning, Deep Learning, NLP, Generative AI, and Model Deployment.
You will also work on 10+ real-world projects and 5+ capstone projects, making you job-ready with practical experience.
What is the duration of the Data Science course?
The course duration typically ranges from 3 to 6 months, depending on the batch type (weekday, weekend, or fast-track).
You also get access to recorded sessions, practice materials, and doubt-clearing support for flexible learning.
Do you provide placement support after the course?
Yes, we provide complete career support including resume building, LinkedIn optimization, mock interviews, and job referrals.
You will also get access to our AI-powered interview practice portal and job assistance network.
Who will train us in this course?
You will be trained by industry experts with real-world experience in Data Science, AI, and Machine Learning.
Our trainers focus on practical learning, real projects, and interview preparation, not just theory.
Do you offer EMI or flexible payment options?
Yes, we offer flexible EMI options to make the course affordable for students and working professionals.
You can start learning now and pay in easy installments.
What job roles can I get after completing this course?
After completing the course, you can apply for roles like Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, NLP Engineer, and Data Engineer.
Your role depends on your skills, projects, and specialization.
Can beginners join this Data Science course?
Yes, this course is designed for beginners, freshers, and career switchers.
We start from basics and gradually move to advanced topics, so no prior coding experience is required.
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