Master AI-Powered Playwright with Python – Live Training
(Master AI-powered test automation using Python and Playwright with MCP, enterprise framework design, and real-world projects)
The AI-Powered Playwright + MCP Automation Master Program (Python) is a comprehensive training course designed to help learners master modern web automation using Python, Playwright, AI-powered testing, and Model Context Protocol (MCP). Starting with Python fundamentals, the course progresses to advanced Playwright automation, framework development, API testing, cross-browser execution, CI/CD, Docker, cloud testing, and AI-assisted automation.
Through hands-on assignments and real-world projects, participants will learn to build scalable, maintainable, and enterprise-ready automation frameworks. The program also includes career guidance, resume preparation, GitHub portfolio development, and interview support, making it an ideal choice for beginners, manual testers, automation engineers, and software professionals looking to advance their testing careers.
About the Instructor:
| Radhakrishnan is a seasoned Automation Testing Expert and Trainer with over 10+ years of industry experience in building scalable test automation solutions. He specializes in Selenium with Python, Playwright with Python, Playwright with JavaScript & TypeScript, and Selenium Automation Testing with Java, equipping learners with expertise across modern automation technologies. He has strong hands-on experience in designing and implementing robust frameworks such as Hybrid, Data-Driven, and Page Object Model (POM) and has worked across domains including Banking, Healthcare, CRM, and E-Commerce.
He also has extensive experience in Selenium Automation with Salesforce & MCP Integration, including Salesforce UI Automation, API Testing, Hybrid Framework Design, CI/CD pipelines, Selenium Grid, Docker, Jenkins, GitHub workflows, SQL validation, and real-time enterprise automation framework implementation. He has successfully delivered real-time project-based training focused on AI-powered automation, MCP integration, and scalable Salesforce automation solutions for students and working professionals. As a trainer, Radhakrishnan has successfully delivered 40+ one-on-one trainings and 25+ corporate training sessions, mentoring over 250+ students globally. His training approach focuses on real-time scenarios, practical implementation, reusable framework design, parallel execution, reporting, and interview-oriented concepts, helping learners gain industry-ready skills and hands-on project experience. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 89 USD Or USD13000 INR 12900 INR 6900 Rupees
OR
Free Demo On:
Indian Timings: 17th August @ 9 PM – 10 PM (IST)/
U.S Timings: 17th August @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 17th August @ 4:30 PM – 5:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What students have to say about Radha Krishnan:
|
⭐️ Best trainer for learning Python Playwright automation. Explains concepts clearly with real-time use cases.Focuses on practical learning and framework design. Highly recommended for automation beginners and professionals.. — Sanju ⭐️Radha Krishnan explanation is clear, structured, and easy to follow. He simplifies complex automation concepts and focuses on industry-level practices. — Ayesha ⭐️ The trainer has excellent knowledge of Python and Playwright automation. He explains concepts in a simple and easy-to-understand way. Real-time examples and practical sessions made learning very effective. Highly supportive and ensures every student understands clearly. — Ram ⭐️ Great learning experience with real-time examples. The course helped me understand framework design and parallel execution clearly. I would definitely recommend this to anyone in QA. — Daniel ⭐️ Excellent trainer with strong technical knowledge. Explains Python and Playwright clearly.Gives real-time insights and best practices. Very supportive throughout the course. — Honey ⭐️ A perfect course for anyone looking to upskill in automation. The combination of Python, Playwright, and framework design is excellent. Highly practical and useful. — Arjun |
Who can enroll in this course?
- Beginners with no prior knowledge of Python or Automation Testing
- Manual Testers looking to transition to AI-Powered Playwright Automation
- QA Engineers who want to upgrade their skills with Modern Automation Tools, MCP, and Framework Design
- Software Developers interested in Test Automation and API Testing
- Freshers and Graduates aspiring to become QA or Automation Engineers
- IT Professionals who want to learn Python for Test Automation, CI/CD, and Modern Testing Practices
- Test Automation Engineers looking to build Real-Time Automation Frameworks and Capstone Projects
- Anyone interested in AI-Powered and MCP-based Intelligent Automation Testing
Salient Features:
- 40 to 45 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
What will I learn by the end of this course?
- Build end-to-end automation frameworks using Python & Playwright
- Automate UI, API, and end-to-end (E2E) testing with real-world scenarios
- Design scalable automation frameworks using the Page Object Model (POM)
- Understand and apply Model Context Protocol (MCP) concepts in automation
- Implement data-driven testing using CSV, JSON, and reusable test data
- Handle advanced UI interactions, smart locators, and synchronization techniques
- Generate detailed reports using HTML Reports, Logging, and Allure Reports
- Execute parallel and cross-browser testing efficiently
- Set up CI/CD pipelines using Git, GitHub, and GitHub Actions
- Run Playwright tests using Docker and cloud platforms such as BrowserStack and LambdaTest
- Perform API testing and integrate it with UI automation
- Explore AI-powered testing, self-healing concepts, and intelligent automation techniques
- Build a complete real-time automation framework through a capstone project
- Prepare for automation testing careers with resume building, GitHub portfolio optimization, and interview preparation
Course Syllabus:
Module 1: Python Essentials for Test Automation (Day 1–3)
🔹 Python Setup & Basics
- What is Automation Testing?
- Why Playwright over Selenium?
- Installing Python & IDE (VS Code / PyCharm)
- Writing & running first Python script
Assignment: Print “Welcome to Playwright Automation”
🔹 Core Python for Testers
- Variables, Data Types, Operators
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Functions & Parameters
- Lists & Dictionaries (handling test data)
Assignment: Write a function to validate login credentials
🔹 Useful Python Concepts
- File Handling (Read/Write CSV, JSON)
- Exception Handling (try/except)
- Importing Modules
- Basic Classes & Objects (Intro to OOP)
Assignment: Read user data from CSV and print usernames
Module 2: Playwright Foundations (Day 4–8)
🔹 Getting Started with Playwright
- What is Playwright? Architecture & Features
- Supported Browsers & Language Bindings
- Installing Playwright (Python)
- Launching browsers (Headed vs Headless)
- Writing first Playwright script (Open → Search → Screenshot)
Assignment: Automate Google search + capture screenshot [Document title]
🔹 Project Structure & Config Files (NEW + IMPORTANT)
- Python Project Files
- txt → dependency management
- ini → test configuration
- py → shared fixtures
- .env → environment variables
- Playwright TypeScript Files (Comparison)
- json → dependencies & scripts
- json → TypeScript compiler config
- config.ts → Playwright config
- Python vs TypeScript Difference
| Feature | Python | TypeScript |
| Dependency Mgmt | requirements.txt | package.json |
| Language Config | Not needed | tsconfig.json |
| Test Config | pytest.ini | playwright.config.ts |
| Fixtures | conftest.py | test fixtures |
| Env Config | .env | .env |
Assignment: Create project with requirements.txt + install dependencies
🔹 Element Interactions
- CSS vs XPath
- Playwright locators (get_by_role, text, )
- Writing stable selectors
Assignment: Automate login flow
🔹 Locators & Selectors
- CSS vs XPath
- Text, Role, Attribute locators
- locator(), get_by_text(), nth()
Mini Project: E-commerce product search
🔹 Assertions & Validations
- Using expect() assertions
- Validate text, attributes, visibility
- Handling alerts, popups, dialogs
Assignment: Validate form submission
🔹 Synchronization & Error Handling
- Auto-waiting mechanism
- wait_for_selector(), wait_for_load_state()
- Handling timeouts & retries
- Capturing screenshots on failure
Assignment: Fix flaky test
Module 3: Framework Concepts & Reusability (Day 10–14)
🔹 Page Object Model (POM)
- POM concept & benefits
- Creating reusable page classes
- Structuring scalable tests
Assignment: Refactor login using POM
🔹 Iframes, Popups & File Handling
- Working with iframes & nested frames
- Handling multiple windows
- File upload & download
Mini Project: Iframe + file download automation
🔹 Cookies, Sessions & Configurations
- Cookies & Local Storage
- Reusing login sessions
- Using JSON/YAML config
Assignment: Session reuse implementation
🔹 Debugging & Codegen Tools
- Playwright Codegen
- Inspector & Trace Viewer
- Debugging flaky tests
Assignment: Modify generated script
🔹 Logging, Reporting & Project Structure
- Python logging module
- Playwright HTML Reports
- Allure Reports integration
- Attaching screenshots/logs
Recommended Folder Structure
project/
├── tests/
├── pages/
├── utils/
├── reports/
├── testdata/
├── conftest.py
├── pytest.ini
├── requirements.txt
Assignment: Generate Allure report
Module 4: Test Execution, Data & CI/CD (Day 15–19)
🔹 Pytest Integration
- Fixtures (setup/teardown)
- Test grouping & tagging
Assignment: Run tagged tests
🔹 Data-Driven Testing
- pytest mark.parametrize
- Reading CSV/JSON
Assignment: Multi-user login
🔹 Parallel & Cross-Browser Execution
- Parallel execution with Pytest
- Chromium, Firefox, WebKit
Mini Project: Cross-browser validation
🔹 CI/CD Integration
- Git & GitHub basics
- GitHub Actions setup
- Installing dependencies (requirements.txt)
Assignment: Trigger pipeline on commit
🔹 Advanced Reporting & Maintenance
- Allure advanced setup
- Logs & data maintenance
- Version control best practices
Assignment: Execution report summary
Module 5: Advanced Playwright Features (Day 20–28)
🔹 Hybrid UI + API Testing
- Using Python requests library
- API + UI validation
🔹 Advanced API Testing
- Status codes, headers, body validation
- API chaining
🔹 Mobile Emulation
- Device simulation
- Responsive testing
🔹 Geolocation & Network Simulation
- Mock location
- Offline/slow network
🔹 Cloud Testing
- BrowserStack / LambdaTest setup
🔹 Docker & Containerization (FIXED)
- Docker basics
- Playwright Docker image
- Running tests in containers
🔹 Visual Regression Testing
- Screenshot comparison
- Percy / Applitools
🔹 AI-Driven Testing
- AI concepts in automation
- Self-healing locators
🔹 BDD with Playwright
- Gherkin (Given-When-Then)
- pytest-bdd / Behave
Module 6: Final Project & Career (Day 29–30)
🔹 End-to-End Framework
Build complete framework:
- UI + API automation
- Data-driven execution
- Cross-browser testing
- Docker + CI/CD
- BDD + Visual testing
🔹 Career Guidance
- Project presentation
- GitHub optimization
- Resume preparation
- Interview questions
FAQ – Master AI-Powered Playwright with Python:
1. Do I need prior programming knowledge?
No. This course starts with Python fundamentals, making it suitable for beginners with no prior programming or automation experience.
2. Is this course suitable for manual testers?
Yes. It is ideal for manual testers who want to transition into modern automation testing using Playwright, Python, and AI-assisted testing.
3. What tools and technologies will I learn?
You will learn Python, Playwright, Pytest, API Testing, Git, GitHub, GitHub Actions, Docker, BrowserStack, LambdaTest, Allure Reports, AI-powered testing concepts, and Model Context Protocol (MCP).
4. Will I work on real-time projects?
Yes. You will complete hands-on assignments, mini-projects, and build a real-time end-to-end automation framework as your capstone project.
5. What is MCP and why is it important?
Model Context Protocol (MCP) is an emerging standard for connecting AI systems with external tools and data sources. This course introduces MCP concepts and demonstrates how they can support modern AI-driven automation workflows.
6. Will I learn CI/CD and Docker?
Yes. You will learn Git, GitHub, GitHub Actions, Docker, and how to automate test execution in CI/CD pipelines.
7. Does this course cover API testing?
Yes. You will learn API testing using Python and integrate API testing with UI automation using Playwright.
8. Will AI concepts be covered practically?
Yes. The course introduces AI-assisted automation, intelligent testing concepts, self-healing approaches, and practical AI use cases in test automation.
9. Will I get interview preparation support?
Yes. The course includes resume preparation, GitHub portfolio guidance, project presentation tips, and interview preparation.
10. Will I receive a certificate?
Yes. A Course Completion Certificate will be provided after successfully completing the training.