Automation, Advanced Testing, and AI

Advance your expertise by transitioning into technical test automation and AI-augmented quality assurance. In this course, you will write automated UI test scripts using Playwright and SQL queries for robust database validation. You will gain hands-on experience in backend integration and performance testing, utilizing Apache JMeter to analyze system load and API reliability. You will also future-proof your career by leveraging Generative AI to design intelligent test cases, generate synthetic test data, and automate defect hot-spot detection. By integrating version control via Git and exploring CI/CD pipelines, you will develop the technical proficiency to introduce code-driven efficiency to your QA processes. Tools used include Playwright, Git, and VS Code (open source, preconfigured in the Linux Lab VM), GitHub (Free Tier), and Apache JMeter (free, pre-installed in the Linux VM). By the end of the course, you will validate backend states using SQL SELECT queries, automate happy-path interactions with Playwright in VS Code, execute a version control workflow from VS Code to GitHub linked to Jira, and use Generative AI to translate test logs into professional stakeholder updates.