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Inicio 4 June 2026 14:10

Fin 4 June 2026

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IBM Generative AI for Cybersecurity Professionals

IBM AI Generativa para Profesionales de Ciberseguridad Las habilidades en IA generativa se están convirtiendo en una parte esencial del conjunto de herramientas de un profesional de ciberseguridad. La Oficina de Estadísticas Laborales de EE. UU. proyecta un aumento del 32% en el número de profesionales de ciberseguridad necesarios hasta 2032, co.

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Resumen

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


Impartido por

Antonio Cangiano, Manish kumar and Rav Ahuja


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