Introduction to Machine Learning Models (AI) Testing

About this course

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 PhaseQA Functional Testing in the ML Validation PhaseAPI Testing Scope for Machine Learning ModelsResponsible AI Testing for ML ModelsPost-Deployment Testing Strategies for ML ModelsContinuous 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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