Artificial Intelligence Industrial Control Systems Security

This course is part of Information Assurance Analysis Specialization

Instructor: Jason Crossland

What you'll learn

  •   Learn how to assess and address safety, privacy, and security concerns in AI systems and their impact on cybersecurity.
  •   Understand the legal and policy frameworks surrounding AI technologies and their application in industrial settings.
  •   Gain expertise in securing industrial control systems (ICS), including PLC, SCADA, and DCS, and mitigating their vulnerabilities.
  •   Explore advanced ICS security strategies, focusing on risk assessment, incident response, and securing OT protocols and supply chains.
  • Skills you'll gain

  •   Threat Modeling
  •   Network Security
  •   Intrusion Detection and Prevention
  •   Governance
  •   Infrastructure Security
  •   Information Systems Security
  •   Data Ethics
  •   Network Protocols
  •   Large Language Modeling
  •   Artificial Intelligence
  •   Firewall
  •   Cybersecurity
  • There are 5 modules in this course

    The course stands out by providing hands-on learning experiences in critical areas such as supply chain risks, cybersecurity for PLCs, and OT protocols. By combining AI principles with real-world ICS security practices, learners will be equipped to analyze and respond to emerging threats in both AI and ICS sectors. This unique approach ensures a deeper, more integrated understanding of how AI can be applied to enhance cybersecurity in industrial environments. Whether you're a professional or a beginner, this course will prepare you to tackle the most pressing security challenges at the intersection of AI and industrial control systems.

    Artificial Intelligence (AI): Safety, Trust, Security and Privacy

    Artificial Intelligence: Policy and Governance

    Industrial Control Systems I

    Industrial Control Systems II

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