Mohammad Nauman

Nauman holds a PhD in security and completed postdoctoral research at the Max Planck Institute for Software

Systems in Germany, where the focus was specifically on the applications of security in machine learning

and AI. This combination of formal security expertise and deep familiarity with the machine learning

systems that underpin modern AI coding tools is directly relevant to the subject matter of this book, and is

rare.

Over a career spanning more than 25 years, he has taught security and related technical subjects at the

undergraduate and postgraduate levels at university, as well as through online platforms, where a current

Udemy student base of over 24,000 reflects both the breadth of the audience and the effectiveness of the

pedagogical approach. He brings both the theoretical depth to explain why security failures happen at a

structural level and the classroom experience to translate that understanding into something a working

developer can act on immediately.