2 hours 10 minutes
Design safe AI/ML options
|About||Synthetic Intelligence (AI) is actually consuming software program as an increasing number of options turn out to be ML-based. Sadly, these programs even have vulnerabilities; however, in comparison with software program safety, few individuals are actually educated about this space. If it’s unattainable to safe AI towards cyberattacks, there will likely be no AI-based applied sciences, corresponding to self-driving automobiles, and yet one more “AI winter” will quickly be on us.
This course is nearly definitely the primary public, on-line, hands-on introduction to the long run views of cybersecurity and adopts a transparent and easy-to-follow strategy. On this course, you’ll study high-level dangers concentrating on AI/ML programs. You’ll design particular safety exams for picture recognition programs and grasp strategies to check towards assaults. You’ll then study numerous classes of adversarial assaults and the way to decide on the suitable protection technique.
By the top of this course, you may be acquainted with numerous assaults and, extra importantly, with the steps you could take to safe your AI and machine studying programs successfully. For this course, sensible expertise with Python, machine studying, and deep studying frameworks is assumed, together with some fundamental math expertise.
All of the code and supporting information for this course can be found on GitHub at:
|Course Size||2 hours 10 minutes|
|Date Of Publication||22 Jan 2020|
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