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

4.47 (733 reviews)

Udemy

platform

English

language

Software Testing

What you will 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

Course Gallery

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Our Verdict

Introduction to Machine Learning Models (AI) Testing is a well-curated course offering thorough insights into the world of ML model testing. While there's room for improvement in terms of hands-on assignments and more advanced topics, this course still serves as an excellent starting point for QA professionals wanting to upskill in machine learning testing.

What We Liked

In-depth coverage of AI & ML fundamentals, making complex topics accessible
Highlights unique challenges in ML model testing, bridging the gap between traditional software testing
Comprehensive agenda with real-world examples and strategies for each phase of ML lifecycle
Clear explanations of model behavior and algorithms, enhancing understanding of data quality

Potential Drawbacks

Lacks hands-on experience, with limited practical assignments using actual datasets
Some content is theoretical, causing difficulty in applying the concepts in real projects
Occasional challenges in comprehension due to intricate subjects and fast-paced delivery
Desire for more advanced content on AI development testing with Python automation

6189991

udemy ID

18/09/2024

course created date

11/10/2024

course indexed date

Bot

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