Learn foundational cybersecurity concepts, including threats, vulnerabilities, and risk management. Gain exposure to OS security, networking, and cryptography aligned with General Security Concepts outlined in Security+.

Implement secure system and network designs, access controls, endpoint protection, and security policies to prevent attacks. Learn Security+ domains of threat and vulnerability mitigation, security architecture and operations

Understand regulatory frameworks, organizational policies, and risk management strategies to secure digital assets.

• Explore Machine Learning, NLP, Deep Learning, and AI applications in cybersecurity.
• Learn AI ethics, model training, and how AI enhances threat detection and response.

Use AI to enhance defensive operations, automate threat detection, and analyze anomalies. Learn incident response, SIEM monitoring, and malware/ransomware analysis.

• Trace the malware lifecycle from initial payload to lateral movement and system compromise.
• Perform sandboxing, reverse engineering, and digital forensics to analyze threats and drive mitigation.

Perform ethical hacking and penetration testing, including reconnaissance, scanning, exploitation, and post-exploitation to remediate security weaknesses. Conduct vulnerability assessments across systems and applications, simulating real-world attacks to strengthen defenses.

Leverage AI tools to simulate attacks and automate offensive security workflows. Gain practical skills to evaluate system resilience against advanced threats.

Apply knowledge from all modules to a real-world, AI-integrated cybersecurity project. Demonstrate expertise across offensive, defensive, AI-driven, and compliance-focused cybersecurity use cases.