Overview
Generative AI skills are becoming an essential part of a cybersecurity professional’s toolkit. The US Bureau of Labor Statistics projects a 32% increase in the number of cybersecurity professionals needed through 2032, with a current median salary of $112,000. This Specialization is designed to build skills enabling you to enter this lucrative and exciting field.
Begin by learning how to distinguish generative AI from discriminative AI. You’ll explore real-world generative AI use cases and discover popular generative AI models and tools for text, code, image, audio, and videos. Next, delve into generative AI prompt engineering concepts, their real-world business uses, and prompt techniques like zero-shot and few-shot, among others. You’ll explore popular prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust.
Then dive into fundamental concepts of generative AI use for cybersecurity. Gain valuable job-ready skills when you apply generative AI techniques to real-world scenarios, including UBEA, threat intelligence, report summarization, and playbooks, and assess their impact and vulnerabilities. Learn how generative AI models can help mitigate attacks, analyze real-world case studies, and learn to identify key implementation factors.
Throughout your learning journey, you’ll create a project portfolio to share your provable skills with potential employers. Earn a shareable course certificate and badge that verifies your achievement.
Categories: Generative AI Courses, Cybersecurity Courses, Prompt Engineering Courses
Syllabus
Taught by
Antonio Cangiano, Manish kumar and Rav Ahuja
