Introduction To Machine Learning Models (AI) Testing

• What you’ll learn Introduction to Artificial Intelligence and Machine Learning Models
• Understanding Lifecycle of Machine Learning Models and their testing Scope
• Shift-Left Testing in the ML Engineering Phase such as OverFitting & UnderFitting Testing
• QA Functional Testing in the ML Validation Phase with 25 different Testing types & Strategies
• API Testing Scope for Machine Learning Models with ChatGPT Model example
• Responsible AI Testing for Machine Learning Models such as Bias, Fairness, Ethical, Privacy Testing etc
• Post-Deployment Testing Strategies for ML Models such as DataDrift & Concept Drift testing
• Continuous Tracking and Monitoring Activities for QA in Production

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