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AI & Machine Learning Foundations

Machine Learning Foundations for Quality Engineering

This course bridges the gap between traditional software testing and the non-deterministic nature of machine learning. It teaches QA analysts how to build test suites that account for statistical variance and data-driven model behaviors.

Foundation 18 hours 4.8 (0 reviews) 0 enrolled

£280

Certified ML Quality Analyst

  • Pass mark 70%
  • Certificate on completion
  • Verifiable public certificate ID
  • English · available globally
Direct answers

Machine Learning Foundations for Quality Engineering: the short answers

What is Machine Learning Foundations for Quality Engineering?
This course bridges the gap between traditional software testing and the non-deterministic nature of machine learning. It teaches QA analysts how to build test suites that account for statistical variance and data-driven model behaviors.
Who is Machine Learning Foundations for Quality Engineering for?
It is pitched at Foundation level for Software Quality Assurance Analysts working in AI & Machine Learning Foundations, and is studied online from any country.
How long does Machine Learning Foundations for Quality Engineering take?
Around 18 hours of study, plus the assessed assignments and one applied project.
How is the certification assessed?
Every assignment and the final project are assessed automatically against the published criteria. The pass mark is 70%, and an item that does not pass can be resubmitted.
What do I receive when I pass?
Certified ML Quality Analyst, issued as a certificate with a unique ID that employers can check in the public certificate register.
How much does it cost?
£280 once, with no subscription.

What you will be able to do

  • Differentiate between deterministic and stochastic software failures
  • Apply test data partitioning for training, validation, and testing sets
  • Evaluate model performance metrics in relation to functional requirements
  • Design regression testing frameworks for iterative model updates
  • Detect data leakage issues during the model training cycle

Written by Dr. Alan Cheng, QA Systems Consultant. Every submission is assessed automatically against the published criteria for Certified ML Quality Analyst, and the certificate is issued the moment the assessment is complete.

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