In this course, you will gain an in-depth understanding of how Generative AI is transforming the cybersecurity landscape. You'll learn how this technology is both a powerful tool for cyber defense and a potential vulnerability. By the end, you’ll be equipped with the knowledge to navigate the challenges and opportunities posed by generative AI in cybersecurity.



Recommended experience
What you'll learn
Understand the principles of generative AI and its impact on cybersecurity
Identify and assess the security risks and vulnerabilities introduced by generative AI
Learn advanced defensive mechanisms and proactive strategies to counter AI-driven cyber threats
Explore future trends and ethical considerations of AI in cybersecurity
Details to know

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May 2025
7 assignments
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There are 7 modules in this course
In this module, we will introduce the foundational concepts of generative AI and explore its transformative impact on cybersecurity. You'll learn how thought leaders influence innovation and see real-world examples of how AI is reshaping industries. This section provides a deep dive into both the technical and strategic aspects of generative AI’s role in cybersecurity.
What's included
3 videos1 reading
In this module, we will explore the specific security risks associated with generative AI, including how adversarial attacks and model manipulations can compromise systems. Through case studies, you'll gain insights into real-world vulnerabilities and the unique challenges these technologies bring to cybersecurity.
What's included
3 videos1 assignment
In this module, we will explore expert insights on how generative AI is poised to transform the cybersecurity industry. We'll discuss the advancements on the horizon and the potential challenges they may bring, along with the changing dynamics of AI-powered cyber defense strategies.
What's included
3 videos1 assignment
In this module, we will dive into defensive strategies designed to mitigate generative AI risks. From automated systems for threat detection to proactive cybersecurity practices like phishing and deepfake identification, this section covers essential tools and techniques for defending against AI-related cyber threats.
What's included
8 videos1 assignment
In this module, we will explore the future of AI in cybersecurity, focusing on the latest trends and research. We’ll cover the intersection of AI with existing technologies and discuss ethical practices, including privacy-preserving methods, to help organizations navigate the evolving landscape of cybersecurity.
What's included
17 videos1 assignment
In this module, we will provide actionable guidance on how organizations can prepare for the future of cybersecurity. Learn how fostering a culture of innovation and collaboration can better equip businesses to tackle AI-driven challenges and threats.
What's included
3 videos1 assignment
In this module, we will introduce the ATLAS framework, a crucial tool for addressing AI security risks. Learn how it enhances existing cybersecurity frameworks like MITRE ATT&CK and gain practical insights through case studies that demonstrate its effectiveness in tackling adversarial threats to AI systems.
What's included
6 videos2 assignments
Instructor

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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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Financial aid available,