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Introduction to Machine Learning Models (AI) Testing
Bestseller
Score 4,4 van de 5(1,852 scores)
11.441 studenten
Laatst bijgewerkt: 8-2025
Engels

Wat je leert

  • 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

Cursusinhoud

9 secties39 collegesTotale lengte van 4u 54m
  • Introduction and Agenda of the tutorial7:13
  • Introduction to Artificial Intelligence Systems with examples7:57
  • What is Machine Learning and how it is related to Artificial Intelligence family7:53
  • Examples of commonly used Machine Learning Models and their usage4:12
  • Material download0:02

Vereisten

  • None. All the concepts are taken care with Scratch explanation

Beschrijving

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.


Voor wie is deze cursus bedoeld:

  • QA Testers
  • Software Engineers
  • Software Testers
  • Data Engineers
  • Developers
  • Test Managers