Learn Playwright web & API automation using JavaScript with AI concepts, MCP, CLI and workflows in Telugu
β±οΈ Length: 20.2 total hours
β 4.75/5 rating
π₯ 64 students
π April 2026 update
Add-On Information:
- Course Overview
- This comprehensive program is meticulously designed to bridge the gap between traditional manual testing and the future of autonomous quality engineering, specifically tailored for the Telugu-speaking tech community.
- It focuses on the rapid shift in the industry where Playwright is superseding older frameworks due to its native integration with modern browser engines like Chromium, WebKit, and Firefox.
- The curriculum explores the symbiotic relationship between JavaScriptβs asynchronous nature and Playwrightβs event-driven architecture, ensuring tests are faster and less prone to flakiness.
- Participants will delve into the nuances of the Shift-Left testing methodology, emphasizing early bug detection through integrated web and backend validation layers.
- A significant portion of the course is dedicated to demystifying the role of Artificial Intelligence in the SDLC, moving beyond simple automation to intelligent test generation and maintenance.
- By utilizing Telugu as the medium of instruction, the course eliminates language barriers, allowing students to grasp complex architectural concepts and coding logic more intuitively.
- The training transitions from basic script recording to writing scalable, enterprise-level test suites that can handle complex user workflows and high-load API scenarios.
- It addresses the modern demand for Full-Stack Quality Assurance engineers who can navigate both the frontend interface and the underlying server-side communication seamlessly.
- The course structure encourages a problem-solving mindset, teaching students how to troubleshoot environment-specific issues and optimize test execution times in local and cloud environments.
- Requirements / Prerequisites
- A basic understanding of Computer Fundamentals and how the internet works (HTTP/HTTPS protocols) is recommended to get started.
- Access to a Windows, macOS, or Linux machine with at least 8GB of RAM to smoothly run modern integrated development environments and browser instances.
- An installation of the Long-Term Support (LTS) version of Node.js, which serves as the backbone for the Playwright execution environment.
- A functional setup of Visual Studio Code (VS Code), along with essential extensions that enhance the JavaScript development experience.
- While no prior coding expertise is required, a logical mindset and a willingness to learn programming syntax from scratch are vital for success.
- Familiarity with Command Line Interfaces (CLI) or Terminal basics will be helpful, though the course covers the necessary commands for project initialization.
- A stable internet connection for downloading NPM packages, browser binaries, and interacting with remote API endpoints during practice sessions.
- A GitHub account is encouraged for version control practice and for maintaining a portfolio of the automation scripts developed during the course.
- Skills Covered / Tools Used
- Visual Studio Code Extensions: Leveraging specific plugins for Playwright to run and debug tests directly from the IDE interface.
- Node Package Manager (NPM): Mastering dependency management to keep the automation framework updated with the latest library versions.
- JSON Data Handling: Parsing and manipulating complex data structures for dynamic test inputs and verifying API response payloads.
- Environment Variables: Managing sensitive information like API keys and environment-specific URLs using .env files for secure automation.
- Playwright Trace Viewer: Utilizing advanced debugging tools to record and inspect test execution step-by-step with screenshots and console logs.
- Network Interception: Learning to mock and route network traffic to simulate various server conditions and edge-case scenarios.
- Continuous Integration Concepts: Understanding how automation scripts fit into CI/CD pipelines using platforms like GitHub Actions or Jenkins.
- State Storage & Authentication: Implementing strategies to save browser state (cookies and local storage) to bypass repetitive login steps across test cases.
- Reporting Engines: Generating insightful HTML and Allure reports that provide stakeholders with clear visual data on test success and failure rates.
- Benefits / Outcomes
- Native Language Mastery: Gaining a deep technical understanding through Telugu explanations, ensuring no conceptual detail is lost in translation.
- Future-Proof Career: Positioning yourself as a high-value asset in the job market by mastering the most in-demand automation tool of the decade.
- Enhanced Productivity: Learning to use AI-driven coding assistants to write scripts 5x faster, significantly reducing the manual effort in framework development.
- Framework Architecture Skills: Developing the ability to design custom automation wrappers that are reusable, maintainable, and easy to scale for large projects.
- Full-Stack Validation Capability: Achieving the confidence to test the entire application stack, from the User Interface to the Database and Microservices.
- Reduced Maintenance Overhead: Implementing auto-wait and resilient selector strategies that drastically cut down the time spent fixing broken tests after UI changes.
- Portfolio Development: Ending the course with a professional-grade project on GitHub that demonstrates your proficiency to potential employers.
- Interview Readiness: Equipping yourself with the technical vocabulary and logic required to clear rigorous technical interviews for SDET roles.
- PROS
- Zero to Hero Approach: Perfectly structured for beginners, taking them through every step of the installation and configuration process.
- Practical Industry Scenarios: Focuses on real-world application rather than just theoretical syntax, using live websites for practice.
- Community Support: Benefit from learning in a regional language group, fostering better communication and peer-to-peer networking.
- AI-Forward Curriculum: Unlike traditional courses, this integrates Generative AI early on, preparing you for the next generation of software testing.
- CONS
- Frequent Technology Updates: Due to the rapid evolution of both Playwright and AI tools, students must remain committed to continuous self-learning even after the course ends to stay current with periodic software releases and deprecations.
Learning Tracks: English,IT & Software,Other IT & Software