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Duration 21 hours
Course Outline
AI Foundations in Cyber Defense
- Overview of AI in threat identification
- AI versus conventional cyber defense techniques
- Emerging trends in AI-enabled cyber defense
Machine Learning for Threat Identification
- Supervised and unsupervised learning methods
- Creating predictive models for anomaly detection
- Data preparation and feature selection
NLP Applications in Cyber Defense
- Leveraging NLP for phishing identification and email scrutiny
- Analyzing text for threat intelligence
- Real-world examples of NLP in cyber defense
Streamlining Incident Management via AI
- AI-centric decision-making for incident management
- Developing automated response processes
- Connecting AI with SIEM platforms for instant action
Deep Learning for Sophisticated Threat Identification
- Utilizing neural networks to detect intricate threats
- Applying deep learning models for malware examination
- Employing AI to counter advanced persistent threats (APTs)
Protecting AI Models in Cyber Defense
- Recognizing adversarial attacks on AI systems
- Defensive tactics for AI-based security utilities
- Safeguarding data privacy and model consistency
Merging AI with Cyber Defense Platforms
- Embedding AI into current cyber defense architectures
- AI-based threat intelligence and surveillance
- Enhancing the efficiency of AI-driven tools
Recap and Future Directions
Requirements
- Foundational knowledge of cyber defense fundamentals
- Exposure to AI and machine learning principles
- Proficiency in network and system security
Target Audience
- Cyber defense specialists
- IT security analysts
- Network administrators
Testimonials (2)
Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.
Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview
It did give me the insight what I needed :) I am starting teaching on a BTEC Level 3 qualification and wanted to widen my knowledge in this area.
