Introduction to Machine Learning Models (AI) Testing

From Scratch, Learn testing types and Strategies involved in all the phases of ML Models (AI) with real time examples

Created by: Rahul Shetty
Best Selling QA Instructor|Founder of RahulShettyAcademy

What Will I 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

Requirements

• None. All the concepts are taken care with Scratch explanation

Target audience

• QA Testers
• Software Engineers
• Software Testers
• Data Engineers
• Developers
• Test Managers