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.
Securing User Authentication
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Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), Cyber Threat Intelligence, Cyber Attacks, Natural Language Processing, Email Security, Threat Detection, Multi-Factor Authentication, Machine Learning, Cybersecurity, Artificial Intelligence, Authentications, Intrusion Detection and Prevention, Deep Learning, Threat Modeling, Jupyter, Computer Vision, Machine Learning Algorithms
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From the lesson
Securing User Authentication
In this module, we will discuss the background of threats against user authentication. Also, we will explore hands-on implementations of fake login detection analytics using biometrics.
Taught By
Lanier Watkins