What will you learn in this IBM Generative AI for Cybersecurity Professionals Specialization Course
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Understand the fundamentals of generative AI and its applications in cybersecurity.
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Gain knowledge of prompt engineering concepts, including zero-shot and few-shot techniques.
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Identify and utilize popular generative AI models and tools such as GPT, DALL·E, IBM Watsonx, Prompt Lab, Spellbook, and Dust.
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Apply generative AI tools to enhance cybersecurity workflows, including threat detection, incident response, and report summarization.
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Assess the use of generative AI in cybersecurity against threats like phishing and malware, and understand potential NLP-based attack techniques.
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Mitigate attacks on generative AI models and analyze real-world case studies, identifying key success factors in implementation.
Program Overview
Course 1: Generative AI: Introduction and Applications
⏳ 7 hours
- Learn the basics of generative AI, its capabilities, and real-world use cases across various industries.
Course 2: Generative AI: Prompt Engineering Basics
⏳ 7 hours
- Delve into prompt engineering concepts, exploring techniques like zero-shot and few-shot prompting, and tools to create effective prompts.
Course 3: Generative AI: Boost Your Cybersecurity Career
⏳ 9 hours
- Apply generative AI tools and techniques in cybersecurity processes such as threat intelligence, incident response, report summarization, and playbooks.
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Job Outlook
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Completing this specialization prepares you for roles such as Cybersecurity Analyst, Security Operations Center (SOC) Analyst, or Threat Intelligence Specialist.
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The skills acquired are applicable across various industries that utilize cybersecurity and AI technologies.
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Enhance your employability by gaining practical experience in applying generative AI to cybersecurity workflows.
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