IBM Generative AI for Cybersecurity Professionals Specialization

Cyber Colleagues, in the “IBM Generative AI for Cybersecurity Professionals Specialization” you will learn 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. Acquire high-demand skills in AI literacy, AI Security, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Cyber Threat Intelligence, Cybersecurity, Exploitation techniques, Generative Model Architectures, Incident Management, Incident Response, Large Language Modeling, Malware Protection, Prompt Patterns, Security Information and Event Management (SIEM), Threat Detection, Threat Modeling, and Vulnerability Management. Moreover, you will use important skills including ChatGPT, Generative AI, and Prompt Engineering. 

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. Hands-on training modules address: 1) Gen AI: Introduction and Applications, 2) Gen AI: Prompt Engineering Basics, and 3) Gen AI: Boost Your Cybersecurity Career.

Enroll today - teams and execs are welcome: https://imp.i384100.net/Oe3ynN

Much success in your Cyber career journey - Cybersecurity Certification Center (please subscribe & share with your colleagues)