Introduction to Machine Learning Models (AI) Testing
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. 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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Course Curriculum
Getting Started with Machine Learning Testing basics
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StartIntroduction and Agenda of the tutorial (7:13)
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StartIntroduction to Artificial Intelligence Systems with examples (7:57)
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StartWhat is Machine Learning and how it is related to Artificial Intelligence family (7:53)
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StartExamples of commonly used Machine Learning Models and their usage (4:12)
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StartMaterial download
Shift Left Testing in ML Model Engineering phase (Supervised Learning)
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StartUnderstand Machine Learning Model Life cycle stages with online/offline modes (5:27)
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StartHow Machine Learning models works in nutshell -Learn terminologies used (11:19)
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StartUnderstand how OverFitting Testng & UnderFitting works with Trained data sets (11:04)
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StartPredicting House Prices (ML Model) Demo to show how internally Algorithms works (15:34)
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StartRevision on Supervised Learning Model Testing with Overfitting/UnderFitting ex (7:13)
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StartMaterial download
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StartKnowledge Check - Section-2
Unsupervised Learning Models Testing in Engineering Phase
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after you enroll
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StartIntroduction to Unsupervised Learning in the ML models with example (12:17)
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StartTesting scope on Unsupervised Learning with Data point patterns&Cluster scores (9:17)
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StartRevision on Unsupervised Learning with cluster score analysis (6:01)
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StartMaterial download
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StartKnowledge Check - Section-3
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.