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IBM

IBM Generative AI for Cybersecurity Professionals

IBM via Coursera Specialization

Overview

Generative AI skills are becoming an essential part of a cybersecurity professional’s toolkit. 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 prompts engineering concepts, their real-world business uses, and prompt techniques like zero-shot and few-shot, and 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. And earn a shareable course certificate and badge that verifies your achievement.

Syllabus

Course 1: Generative AI: Introduction and Applications
- Offered by IBM. This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning ... Enroll for free.

Course 2: Generative AI: Prompt Engineering Basics
- Offered by IBM. This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in ... Enroll for free.

Course 3: Generative AI: Boost Your Cybersecurity Career
- Offered by IBM. This short course provides cybersecurity professionals and enthusiasts with the latest Generative AI tools to address ... Enroll for free.

Courses

Taught by

Antonio Cangiano, Manish kumar and Rav Ahuja

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