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Rav Ahuja and Dr. Manish Kumar

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.

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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 prompts engineering concepts, their real-world business uses, and prompt techniques like zero-shot and few-shot, andothers. You’ll explore popular prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust.

Then dive intofundamental concepts of generative AI usefor cybersecurity. Gain valuable job 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 toidentify 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.

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What's inside

One course

Generative AI: Boost Your Cybersecurity Career

(0 hours)
This short course provides cybersecurity professionals with the latest Generative AI tools to address complex cybersecurity challenges, such as combating the exploitation of undetected vulnerabilities.

Learning objectives

  • Apply your skills to recognize real-world generative ai uses and identify popular generative ai models and tools for text, code, image, audio, video.
  • Gain knowledge of generative ai prompt engineering concepts, examples, common tools and learn techniques needed to create impactful prompts.
  • Learn how to identify appropriate generative ai tools for cybersecurity.
  • Apply your generative ai skills to address standard and advanced cybersecurity needs.

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