Cybersecurity - AI, Machine & Deep Learning Methods

Training 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.

• Understand the concepts of AI, ML, and DL, including their strengths and limitations
• Generate meaningful data visualizations by applying statistical models to real cybersecurity problems
• Familiarize with ML frameworks and methods
• Identify the most suitable ML models to solve complex problems
• Work on specific cybersecurity use cases under the supervision of an AI expert