Best For
Manual QA testers looking to transition into automated testing roles using AI tools. Test automation engineers seeking to accelerate script generation and maintenance with Generative AI. QA leads who want to integrate AI-driven workflows to reduce testing lifecycles. Software developers interested in applying AI-assisted practices to their unit and integration testing workflows.
Not For
Software engineers looking for deep theoretical research in AI/ML model development. Absolute beginners with no exposure to software testing concepts or basic programming. Professionals seeking a general high-level overview of AI without technical implementation.
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About the Creator
is a seasoned Quality Assurance specialist and hands-on educator dedicated to helping software testers evolve in the rapidly changing tech landscape. With a rich background in test automation, manual testing, and quality engineering strategies, Prateek has witnessed firsthand how artificial intelligence is reshaping the software development lifecycle. Recognizing the growing gap between traditional QA methodologies and modern AI capabilities, he designed his courses to empower QA engineers with the exact skills needed to leverage machine learning tools, automated test generation, and AI-driven analytics. Prateek's teaching philosophy revolves around practical application over dry theory. He believes that the best way to master AI-driven testing is by building, experimenting, and breaking things in real-world environments. In his sessions, students do not just watch slides; they interact with cutting-edge testing frameworks and integrate AI assistants directly into their workflows. By demystifying artificial intelligence, Prateek helps QA professionals overcome the fear of automation and instead view AI as a powerful collaborator that enhances productivity, increases test coverage, and accelerates delivery pipelines.
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