AI Cybersecurity Course Online

Prerequisites

1. Basic Cybersecurity Knowledge

• Core concepts (CIA triad, encryption, authentication, network security)
• Common threats (malware, phishing, DDoS)

2. Programming Skills (Python)

• Basic Python for AI and cybersecurity tools

3. AI/ML Basics

• Understanding of machine learning algorithms (decision trees, SVM, neural networks)
• Data science basics (data processing, feature engineering)

4. Security Tools Familiarity

• Experience with SIEM, EDR, security automation platforms

5. Optional (but helpful)

• Cloud Security: Knowledge of cloud platforms and security
• Cryptography Basics: Encryption, hashing, security protocols

What You Will Learn

• How AI and machine learning are used to detect and prevent cyber threats
• Building and training ML models for cybersecurity use cases (e.g., anomaly detection, phishing detection)
• Using AI to enhance threat intelligence and automate security responses
• Understanding adversarial attacks on AI systems and how to defend against them
• Applying AI techniques to security operations (SOC), incident response, and log analysis
• Integrating AI tools with existing cybersecurity technologies (SIEM, EDR, SOAR)
• Hands-on experience with AI-driven cybersecurity tools and datasets