Knowledge of Generative AI can be a great skillset for Cybersecurity Specialists and Analysts. This short course covers the essential generative AI skills that existing and aspiring Cybersecurity professionals can apply to supercharge their careers.

You will learn how to detect, prevent, identify, and neutralize cyber vulnerabilities using genAI. You will also learn to combat cyberthreats by building a strong defense using Generative AI concepts and tool.

Through practical applications and hands-on labs, you will use generative AI techniques in real-world cybersecurity scenarios, tackling challenges such as User and Entity Behavior Analytics (UEBA), threat intelligence integration, report summarization, and playbook development. Participate in excercises that analyze real-world case studies and identify key factors contributing to their success.

Explore potential Natural Language Processing (NLP)-based attack vectors, gaining insights into effective defensive strategies against phishing, malware, misinformation, and deepfakes.

By the end of the course, you will emerge with practical skills and strategic insights to leverage generative AI effectively in cybersecurity. Expand your Generative AI proficiency to enhance your cybersecurity career. Enroll today!

Learning Outcomes

After completing this course you will be able to:

Describe the basics of Generative AI and its importance in cybersecurity.
Use generative AI methods in real-world cybersecurity situations, like analyzing user behavior, threat intelligence, summarizing reports, and creating response plans.
Look at how generative AI can help in defending against cyber threats like phishing and malware, and understand possible attacks using language processing.
Find ways to protect generative AI models from attacks and learn from real cases to see what works best.

Course Syllabus

Module 1: Get Started with Generative AI in Cybersecurity

Lesson 1: The Security Implications of Generative AI
Lesson 2: Introduction to Generative AI and Data Security
Lesson 3: Module Assessment

Module 2: SIEM and SOC Tasks Using Generative AI

Lesson 1: Using Generative AI for incident response.
Lesson 2: Integrating Generative AI Models with Security Systems
Lesson 3: Ethics, issues, considerations for using Generative AI for Cybersecurity
Lesson 4: Module Assessment

Module 3: Final Project and Exam

Lesson 1: Final Project
Lesson 2: Final Exam
Lesson 3: Course Wrap Up

General Information

This course is self-paced.
This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

Recommended Skills Prior to Taking this Course

It is recommended that you have a general familiarity with Generative AI and prompt engineering basics. It is suggested to complete or be familiar with the concepts convered in the following two courses:

Generative AI Essentials
Prompt Engineering Essentials

Generative AI Skills for Cybersecurity Professionals

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