Introduction to AI for Cybersecurity

This course is part of AI for Cybersecurity Specialization

Instructor: Lanier Watkins

What you'll learn

  •   Use AI techniques to detect and mitigate various cyber threats, protecting digital assets and data.
  •   Develop and apply machine learning models to identify, classify, and filter spam and phishing emails.
  •   Implement AI-driven biometric solutions like keystroke dynamics and facial recognition to enhance user authentication security.
  • Skills you'll gain

  •   Cybersecurity
  •   Machine Learning Algorithms
  •   Machine Learning
  •   Authentications
  •   Natural Language Processing
  •   Computer Vision
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Email Security
  •   Cyber Threat Intelligence
  •   Cyber Attacks
  •   Multi-Factor Authentication
  •   Artificial Intelligence
  •   Intrusion Detection and Prevention
  •   Threat Modeling
  •   Threat Detection
  •   Deep Learning
  •   Jupyter
  • There are 4 modules in this course

    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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