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.
Course Curriculum
Getting Started with Machine Learning Testing basics
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Shift Left Testing in ML Model Engineering phase (Supervised Learning)
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- Understand Machine Learning Model Life cycle stages with online/offline modes (5:27)
- How Machine Learning models works in nutshell -Learn terminologies used (11:19)
- Understand how OverFitting Testng & UnderFitting works with Trained data sets (11:04)
- Predicting House Prices (ML Model) Demo to show how internally Algorithms works (15:34)
- Revision on Supervised Learning Model Testing with Overfitting/UnderFitting ex (7:13)
- Material download
- Knowledge Check - Section-2
Unsupervised Learning Models Testing in Engineering Phase
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Reinforcement Learning & Commonly used Frameworks and Algos in ML Models
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Functional Testing for Machine Learning Models in Evaluation Phase
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- What are Validation Unseen Data sets and why it is required (7:07)
- Temperature Testing to fine tune the response predictions from ML Models (9:16)
- Prompts Testing with Zero Shot & Chain of thought Prompts test (9:30)
- Relevance stary Testing & Fantasy claims testing on ML Models (12:53)
- Repeatability Testing & Asking question in different phases to test (0:07)
- Style Transfer testing & Intent recognition testing on ML Models (17:31)
- What is Invariance Testing & BiDirectional testing for AI Models (9:30)
- Material download
- Knowledge Check - Section-5
Introduction to API Testing on Machine Learning Models
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Responsible AI Testing with examples on Machine Learning (AI) Models
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Post Deployment Testing Types with examples on Machine Learning Models
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Final words - Impact of Machine Learning Models in QA Space
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 Frequently Asked Questions
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.