- Prompt Engineering
- Malware Protection
- Intrusion Detection and Prevention
- Cyber Threat Intelligence
- Threat Modeling
- Generative AI
- Security Information and Event Management (SIEM)
- Threat Detection
- Anomaly Detection
- Vulnerability Management
- Cybersecurity
- Artificial Intelligence
Generative AI: Boost Your Cybersecurity Career
Completed by Mondweep Chakravorty
June 21, 2024
10 hours (approximately)
Mondweep Chakravorty's account is verified. Coursera certifies their successful completion of Generative AI: Boost Your Cybersecurity Career
What you will learn
Explain the fundamental concepts of Generative AI and its significance in cybersecurity.
Apply generative AI techniques to real-world cybersecurity scenarios, including UBEA, threat intelligence, report summarization, and playbooks.
Assess the use of generative AI in cybersecurity against threats, like phishing and malware, and understand potential NLP-based attack techniques.
Mitigate attacks on generative AI models and analyze real-world case studies, identifying key success factors in implementation.
Skills you will gain

