Generative AI for Cybersecurity

IBM via edX Professional Certificate

Overview

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As cyber threats evolve, the tools needed to combat them are also evolving. Generative AI is rapidly becoming a vital asset in a cybersecurity professional’s toolkit. It is helping streamline threat detection, automate security operations, and enhance response strategies. With cybersecurity jobs projected to grow 32% by 2032 (U.S. Bureau of Labor Statistics) and a median salary of $112,000, there’s never been a better time to gain AI-driven security skills.

This IBM program equips you with the knowledge and hands-on expertise to integrate generative AI into cybersecurity workflows, preparing you for success in this high-demand field.

The courses have been designed to help you understand gen AI’s role in cybersecurity. You’ll learn the differences between gen AI and discriminative AI, explore real-world use cases, and discover leading AI models for text, code, image, audio, and video generation. You’ll also learn key prompting strategies such as zero-shot and few-shot learning and work with cutting-edge tools like IBM watsonx, Prompt Lab, Spellbook, and Dust.

To gain hands-on experience, you’ll use gen AI to enhance threat intelligence, automate UBEA (User and Entity Behavior Analytics), summarize security reports, and optimize playbooks. You’ll also assess AI’s impact and risks by exploring how AI models can mitigate cyber threats, analyze real-world case studies, and identify security vulnerabilities in AI-driven workflows. By working on real-world projects, you’ll demonstrate your expertise and create a portfolio that showcases your AI-powered cybersecurity skills to potential employers.

No prior experience? No problem. This program is designed for anyone looking to break into cybersecurity or enhance their skill set with AI. Earn a shareable certificate and badge to validate your achievement and stand out in a competitive job market.

Start your journey today and become an AI-powered cybersecurity professional.

Syllabus

Courses under this program:
Course 1: Introduction to Generative AI

In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.

Course 2: Introduction to Prompt Engineering

In this course, you will learn about prompt engineering to unlock the full potential of generative AI tools like ChatGPT. You will learn the techniques and best practices for writing effective prompts and explore a few common prompt engineering tools.

Course 3: Mastering Generative AI for Cybersecurity

Learn how to leverage the power of generative AI in cybersecurity, including UEBA, threat intelligence, phishing, malware, misinformation, deepfakes, and SIEM and SOC tasks.

Courses

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3 weeks, 1-3 hours a week, 1-3 hours a week
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Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts.

You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses.

You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust.

The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.

This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT.
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3 weeks, 2-3 hours a week, 2-3 hours a week
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Generative AI is transforming cybersecurity, enabling faster threat detection, proactive defense strategies, and advanced solutions to combat sophisticated attacks. This course builds skills in valuable generative AII techniques and tools that help cybersecurity professionals effectively handle complex cybersecurity challenges.

During the course, you’ll explore undetected vulnerabilities by leveraging AI and machine learning. You’ll learn the foundational principles of gen AI and their practical applications in cybersecurity, including user and entity behavior analytics (UEBA), threat intelligence, report summarization, automated playbooks, countering phishing, malware, misinformation, and deepfakes. Plus, you’ll look at natural language processing attack techniques, such as prompt injection, and the strategies to counteract them.

You’ll learn how generative AI transforms Security Information and Event Management (SIEM) and Security Operations Center (SOC) workflows. The course covers how generative AI enhances incident response, threat detection, and vulnerability management.

You’ll also review the latest advancements in gen AI for cyber defense and threat prediction. Plus, you’ll complete real-world practical exercises, hands-on labs, and a final project where you’ll apply your skills.

If you’re an existing or aspiring cybersecurity professional looking to add in-demand gen AI skills to your resume, enroll today!