The tutorial is largely hands-on, but is backed up by the latest developments in in ML testing and reflects the current progress in this area of the ISO working group on testing AI systems.  It leads attendees through the experience of both building various ML models, such as neural networks and decision trees, and then testing these models using specialist techniques.  These test techniques are focused on three principal areas, input data testing, ML framework testing and ML model testing, such as metamorphic testing, each of which will be covered in this tutorial.