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Introduction to Machine Learning Models (AI) Testing (Udemy.com)

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

Created by: Rahul Shetty Academy

Last updated August 2025

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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

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Quality Score

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Overall Score : 88 / 100

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Course Description

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 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.

Below is high level of Agenda of the tutorial:


  • Introduction to Artificial Intelligence

  • Overview of Machine Learning Models and their Lifecycle

  • Shift-Left Testing in the ML Engineering Phase

  • QA Functional Testing in the ML Validation Phase

  • API Testing Scope for Machine Learning Models

  • Responsible AI Testing for ML Models

  • Post-Deployment Testing Strategies for ML Models

  • Continuous Tracking and Monitoring Activities for QA in Production

By the end of this course,
you will gain expertise in testing Machine Learning Models at every stage of their lifecycle.

Please Note:
This course highlights specialized testing types and methodologies unique to Machine Learning Testing, with real-world examples.

No specific programming language or code is involved in this tutorial.


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Instructor Details

Rahul Shetty Academy

"Nothing is Impossible. It all depends on how we are Trained on it."

"Teaching is my Passion. And it's my Profession. The only Business I know is Spreading Knowledge."

I'm Rahul Shetty (aka- Venkatesh), a QA instructor with a 15-year track record. Over 1 Million QA professionals from 195 countries have taken my courses on Selenium, Playwright, AI Testing, Software Testing (Jira), API Testing, Cypress, Postman, Appium, JMeter, and more..."

I lead top QA initiatives both online and offline — through Rahul Shetty Academy, one of the leading EdTech platforms for QA training; QASummit, a premier offline conference brand; and RS TekSolutions, my software consulting firm. Together, these ventures have helped hundreds of thousands of students master testing and automation, transforming their careers as Automation Engineers


"Many QA professionals aspire to learn cutting-edge automation, but 90% abandon their goals. It's not a lack of courses, but finding the right mentor who understands the QA mindset and tailors their teaching accordingly."

"As a QA engineer with nearly two decades of experience, I get it. I've built my courses strategically, focusing on practical skills and career growth. I believe I've cracked the code for teaching automation testing, and I'm thrilled to share it with you."

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Reviews

4.4

2,039 ratings on Udemy

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By Ratnakar Digvijay Kolhatkar on 8/22/2026

I liked how Rahul Shetty explained the fundamentals of AI and Machine Learning testing in a simple, practical manner with real-world examples, making complex concepts easy to understand and apply.

By Radoslav Fedacko on 7/19/2026

Avoid. It's not only a loss of time and money, but a good portion of the content in this course is misleading or plain factually wrong. It's as if a student who is trying to understand a topic explains it to their classmates, without properly grasping the topic themselves.

By Ankur Verma on 1/14/2026

This course was a great fit for me as QA professional. It was explained in a very well mannered which easily can be understandable. This course expanded my testing mindset and confidence to learn more about AI and contribute to AI and ML testing.

By Oscar A Cepeda on 11/2/2025

Some of the presentation materials are a bit rudimentary, but the presenter and his overall content were excellent. The key concepts were discussed thoroughly and the quizzes after each section helped to solidify the materials learned. Having the PDFs for each section is very helpful - they allow me to summarize them as needed with AI tools to refresh my knowledge gained.

By Sravanthi Chilakapati on 8/1/2025

Hi This is Sravanthi, Big Thankyou to RahulShetty(Venkatesh) My motivation for taking this course came from wanting to bridge my QA experience with my Master’s in Artificial Intelligence & Robotics. Working as a QA Analyst in the supply chain domain, I realized how AI concepts like Generative AI, Prompt Engineering, and ML Model Testing could transform the way we validate intelligent systems. This course helped me connect my academic foundation with real‑world QA practices ,making testing more data‑driven, efficient, and future‑ready. It’s been a great step toward evolving from traditional QA to AI‑powered quality engineering.

By DARSHAN NAGABUSHAN on 2/12/2025

Excellent explanation on topics on ML models, types of testing need for model, some of the new testing types never heard are used in ML models. Thanks Rahul for helping QA community and we will be grateful to you!

By Amulya Thorlapati on 2/11/2025

Awesome Course. Thank you to the author for creating and implementing this course for all QA Engineers to upskill in AI !! Recommended for all QA Engineers who are aspiring in AI field. Thanks.

By Raj on 1/3/2025

This course is a must for any ML engineer, regardless of experience level. It effectively emphasizes the importance of testing at every stage of the machine learning pipeline. I gained a deep understanding of ML QA concepts, making it an invaluable learning experience. Highly recommend!

By Sreepuja Sukhari on 11/12/2024

It is definitely one of the best course to learn ML in a simplified approach and more understandable way,Would recommend to take this course to have a better and bright and successful future ahead.

By Nisha Baghel on 10/20/2024

Hi, The course was insightful about the Testing types needed to be performed in the Machine Learning lifecycle model. However, I expected a more detailed videos of actual coding where these were demonstrated to fully connect the concept with practical hands on. So, that I apply for jobs or look for work opportunities, I could demonstrate it and hence get the opportunity. However, I am thankful for this course. This is a overview of where QA might expected to be involved in the lifecycle. I would appreciate a following course with more details on coding or actual manual Test Cases or execution.

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