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Welcome back to Day 2 of our QA to AI Transformation series! In this session, we dive deep into the fundamentals of Artificial Intelligence and its revolutionary impact on software testing. Whether you're a seasoned QA engineer, tester, or just starting your journey in quality assurance, this video will equip you with the key skills needed to thrive in the AI-driven future of testing. What You'll Learn: Introduction to AI concepts tailored for QA: Machine learning basics, neural networks, and how they apply to testing workflows. Key skills for future QA professionals: From automated test generation to predictive analytics and defect detection using AI tools. Real-world examples: How AI enhances efficiency, reduces manual effort, and improves accuracy in software testing. Hands-on insights: Tips on integrating AI into your daily QA practices, including top tools like Tosca AI Assist, Selenium with AI enhancements, and more. Career transformation advice: Why upskilling in AI is crucial for QA roles and how to execute 2-3 AI-powered projects to boost your resume. This is part of ITeLearn's comprehensive QA to AI training program, designed to help you transition seamlessly from traditional QA to AI-powered testing. If you missed Day 1 on QA Testing Principles & Methodologies, check it out here: [Link to Day 1 video]. Enroll in the full course at https://itelearn.com/QAToAI for in-depth modules, live projects, and certification. Don't forget to like, subscribe, and hit the notification bell for more sessions in this series! Drop your questions in the comments below – what's your biggest challenge in adopting AI for testing? #QAToAI #AIinTesting #SoftwareTesting #QATraining #AITutorial #CareerInAI #ITeLearn