Objective: This pioneering course blends the domains of cyber security and artificial intelligence. It has been designed for cyber security professionals who want to understand and implement AI models for exploring logs, security events, and other types of data. Classifying analytics is especially encouraged as well as NLP and Image Recognition techniques based on types of data sources found in the cybersecurity domain.
Where coding is needed, Python and some selected libraries will be used. The expected audience is expected to be familiar with scripting coding but is not required to master any specific language.

Objectifs pédagogiques

• Understand the concepts of AI, ML and DL. Their strengths and limitations
• Generate different visualisations of your data by applying statistical models to real cybersecurity problems in meaningful ways
• Familiarise with ML frameworks and methods
• Identify the best suited ML models to solve complex problems
• Work in specific cybersecurity use cases while being supervised by an AI expert

Pré-requis

Python or similar scripting language (like R, Matlab, etc)

Notions in AI/Machine Learning

Public concerné

Engineers, developers…

Programme