Introduction to Machine Learning Models (AI) Testing
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
Product Brand: Udemy
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Udemy Coupon Code for Introduction to Machine Learning Models (AI) Testing Course. From Scratch, Learn testing types and Strategies involved in all the phases of ML Models (AI) with real time examples
Created by Rahul Shetty | 5 hours on-demand video course | 7 downloadable resources
Machine Learning Models (AI) Testing Course Overview
This course will introduce you to the World of Machine Learning Models Testing. As AI continues to revolutionize industries, many companies are developing their own ML models to enhance their business operations. However, testing these models presents unique challenges that differ from traditional software testing. Machine Learning Model testing requires a deeper understanding of both data quality and model behavior, as well as the algorithms that power them.
This Introduction to Machine Learning Models (AI) Testing Course starts with explaining the fundamentals of the Artificial Intelligence & Machine Learning concepts and gets deep dive into testing concepts & Strategies for Machine Learning models with real time examples.
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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