What topics are covered in a typical QA Testing with AI online training course?

In a typical QA Testing with AI online training course, students explore a variety of crucial topics to build expertise in both software testing and artificial intelligence. Key areas include an introduction to AI concepts, the role of AI in automation testing, machine learning models for test data generation, AI-driven bug detection, and using AI to optimize test cases. Additionally, students learn how to integrate AI tools with traditional testing frameworks, including Selenium and JUnit. Real-world case studies and hands-on projects ensure learners develop practical skills that are highly valued in the QA industry. Career support is often included to help with job placements.