Completion

CERTIFICATE

Mastering Generative AI for Cybersecurity

This course is part of Cybersecurity Analyst.

Course Cost

₹ 4,168

Intermediate

Skill Level

3 Weeks

Self-paced Video lessons

This comprehensive course explores how generative AI is transforming cybersecurity by enabling faster threat detection, proactive defense strategies, and advanced solutions against sophisticated attacks. Designed for both existing and aspiring cybersecurity professionals, it builds valuable skills in generative AI techniques and tools to effectively handle complex security challenges. Throughout the course, participants learn to explore undetected vulnerabilities using AI and machine learning while mastering foundational principles of generative AI and their practical applications in cybersecurity. Key focus areas include user and entity behavior analytics (UEBA), threat intelligence, report summarization, automated playbooks, and countering various threats like phishing, malware, misinformation, and deepfakes. The curriculum also covers natural language processing attack techniques such as prompt injection and relevant countermeasures. Students will discover how generative AI transforms Security Information and Event Management (SIEM) and Security Operations Center (SOC) workflows, enhancing incident response, threat detection, and vulnerability management. The course includes practical exercises, hands-on labs, and a final project for applying learned skills, making it ideal for professionals looking to add in-demand generative AI capabilities to their cybersecurity expertise.

Rav Ahuja

English

Rav Ahuja

What you'll learn

Leverage generative AI in cybersecurity applications including UEBA, threat intelligence, report summarization, and automated playbooks

Implement AI-driven approaches to counter cybersecurity threats like phishing, malware, misinformation, and deepfakes

Streamline SIEM and SOC tasks with generative AI to optimize operational efficiency and threat management

Integrate generative AI in critical cybersecurity operations such as incident response, threat detection, and vulnerability management

Develop strategies to guard against NLP-based attacks on generative AI systems

Apply machine learning techniques for enhanced pattern recognition in cybersecurity data

Understand ethical considerations and potential risks when deploying AI in security contexts

Complete hands-on projects demonstrating practical applications of generative AI in solving complex security challenges

Skills you'll gain

Artificial Intelligence

Cyber Defense

Cyber Security

Cyber Threat Intelligence

Machine Learning

Natural Language Processing

Phishing

Security Information And Event Management

Security Operations

Threat Detection

Vulnerability Management

This course includes:

PreRecorded video

Graded assignments, Quizzes, Final Project, Final Exam

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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CREATED BY

PROVIDED BY

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

There are 3 modules in this course

This course explores the transformative impact of generative AI on cybersecurity practices. It covers how AI technologies can enhance threat detection, vulnerability management, and defense strategies against sophisticated cyber attacks. Participants learn to apply generative AI techniques to critical cybersecurity domains including user and entity behavior analytics, threat intelligence generation, report summarization, and automated response playbooks. The curriculum addresses practical applications in countering modern threats such as phishing, malware, misinformation, and deepfakes. Special attention is given to natural language processing attack techniques like prompt injection and their countermeasures. The course demonstrates how generative AI can optimize Security Information and Event Management (SIEM) and Security Operations Center (SOC) workflows, improving incident response efficiency and threat management capabilities. Through hands-on labs and practical exercises, participants develop skills in integrating AI tools into cybersecurity operations while considering ethical implications and potential risks of these technologies. The program culminates in a final project where students apply their knowledge to real-world cybersecurity scenarios.

Get Started with Generative AI in Cybersecurity

Module 1

This module introduces the foundations of generative AI and its applications in cybersecurity. Students will learn about the transition from conventional AI to generative AI, explore various cybersecurity applications, and understand associated security risks. The module covers prompt injection attacks, LLM risks, content filtering, and using generative AI for cybersecurity analytics, attack pattern analysis, incident response, and forensic analysis. Hands-on labs provide practical experience with foundation models, malicious code generation, and cybersecurity report summarization.

Skills you'll gain

AI Implementation

Security Risk Assessment

Threat Analysis

SIEM and SOC Tasks Using Generative AI

Module 2

This module explores how generative AI can enhance Security Information and Event Management (SIEM) and Security Operations Center (SOC) workflows. Students will learn to use AI for triaging incidents, analyzing logs, managing vulnerabilities, and conducting advanced threat detection. The module covers integration methods for AI in SIEM systems, User and Entity Behavior Analytics (UEBA), Security Orchestration, Automation and Response (SOAR), and ethical considerations when implementing AI in cybersecurity operations.

Skills you'll gain

Threat Detection

Incident Response

Security Automation

Final Project and Exam

Module 3

This module serves as the culmination of the course, allowing students to apply their knowledge of generative AI in cybersecurity through a comprehensive final project. Students will review key concepts learned throughout the course, complete a practical cybersecurity project using generative AI technologies, and demonstrate their understanding through a final examination. The module includes reference materials such as a glossary and cheatsheet to support ongoing application of generative AI in cybersecurity contexts.

Skills you'll gain

Knowledge Application

Project Implementation

Skill Assessment

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Cybersecurity Analyst

Payment options

Financial Aid

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Faculties

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Rav Ahuja

Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers

Intermediate

Skill Level

3 Weeks

Self-paced Video lessons

Course Cost

₹ 4,168

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

Why is generative AI important in cybersecurity?

How does generative AI improve threat detection?

Can generative AI adapt to new cyber threats?

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations.