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Learner Reviews & Feedback for Introduction to AI for Cybersecurity by Johns Hopkins University

4.3
stars
15 ratings

About the Course

In "Introduction to AI for Cybersecurity," you'll gain foundational knowledge of how artificial intelligence (AI) is transforming the field of cybersecurity. This course covers key AI techniques and how they can be applied to enhance security measures, detect threats, and secure digital systems. Learners will explore hands-on implementations of AI models using tools like Jupyter Notebooks, allowing them to detect spam, phishing emails, and secure user authentication using biometric solutions. What makes this course unique is its focus on real-world applications, blending AI theory with practical skills relevant to today's cybersecurity challenges. By the end of the course, you'll have developed the ability to use AI to address cyber threats such as email fraud and fake logins, and will be equipped with practical skills to protect digital assets in a rapidly evolving technological landscape. Whether you're a cybersecurity professional or someone seeking to expand your skills in AI, this course provides a critical understanding of how AI can be leveraged to mitigate security risks and keep systems secure....

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1 - 4 of 4 Reviews for Introduction to AI for Cybersecurity

By Maarja M S

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Mar 6, 2025

The necessary material, good questions. Thank you.

By Kris H

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Feb 2, 2025

great course!

By Waseem A

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Dec 5, 2024

The content of the course is good. However, the instructor instead of explaining the content on the slides, just "reads" through some notes he has made. This gets really annoying when his notes do not synchronize with the slides being presented and when he repeatedly reads back and forth through the notes when he makes some mistakes while reading.

By Stephen C

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Feb 24, 2025

This course is a waste of time. There is a separate textbook that is required and it hold more comprehensive information than the (short) video lectures. In fact most of the video lectures are just glossing over the information in the book. It provides little to no further explanation or material. Most of the quiz and test questions require that you have read the textbook as most of the detailed information is not covered in the video lectures. It seems like this course is a stripped down version of a separate class as the video lectures also reference a lab that is provided (which is not provided by this coursera course), and links and further reference material (that is is also not provided by this coursera course).