Career Advancement Programme in AI in Industrial Control Systems Security
-- ViewingNowThe Career Advancement Programme in AI for Industrial Control Systems Security is a certificate course that empowers learners with essential skills for combating cyber threats in today's interconnected world. This programme highlights the importance of AI in safeguarding industrial control systems from cyber attacks, a rapidly growing concern for industries worldwide.
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2个月完成
每周2-3小时
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课程详情
• Fundamentals of Artificial Intelligence (AI): Understanding the basics of AI, including machine learning, deep learning, and neural networks. This unit will cover the history, principles, and applications of AI.
• Industrial Control Systems (ICS): Overview of ICS, including Supervisory Control and Data Acquisition (SCADA), Distributed Control Systems (DCS), and Programmable Logic Controllers (PLC). This unit will also cover the unique challenges and vulnerabilities of ICS in industrial environments.
• AI in ICS Security: The use of AI in ICS security, including threat detection, intrusion detection, and incident response. This unit will also cover the ethical considerations of using AI in ICS security.
• Cyber Threat Intelligence: Understanding the latest cyber threats and how to gather and analyze threat intelligence. This unit will cover sources of threat intelligence, such as open-source intelligence, and how to use threat intelligence to improve ICS security.
• Risk Management: Identifying, assessing, and mitigating risks in ICS. This unit will cover risk management frameworks and methodologies, such as NIST and ISO, and how to use them to manage ICS risks.
• Incident Response Planning: Developing incident response plans for ICS. This unit will cover the importance of incident response planning, the components of an incident response plan, and how to test and maintain an incident response plan.
• Security Operations Center (SOC) Design: Designing and implementing SOCs for ICS. This unit will cover the functions of a SOC, the technology and tools used in a SOC, and how to staff and operate a SOC.
• AI in SOC: The use of AI in SOC, including threat hunting, anomaly detection, and automation. This unit will also cover the ethical considerations of using AI in SOC.
• AI in ICS Forensics: The use of AI in ICS forensics, including digital forensics, network forensics
职业道路
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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