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This course is intended for IoT Product Developers and Cybersecurity Professionals. By the end of the course, learners will be able to explain the security needs of IoT devices and list their security aspects and how to protect them, identify IoT device vulnerabilities and how to develop effective security strategies to safeguard against potential threats, explain the basics of hardware security, list common encryption techniques used in IoT and edge devices, apply security measures to secure IoT and edge device deployments, and more.

During Module 1, learners will learn about security challenges and vulnerabilities. Module 2 consists of topics such as hardware security, security-by-design, and best practices for edge computing. Continuing to Module 3, learners will discuss privacy, compliance, and regulatory considerations in edge computing.

This course is designed for Enterprise IT Leaders, Cybersecurity Professionals, and Cloud Service Providers. This final course in the series looks at edge security from a strategic perspective. By the end of this course, learners will be able to explain the impact of edge computing breaches, identify edge computing risk identification methodologies, estimate cyber-attack probability with threat data and trends, prioritize potential risks specific to edge computing environments, develop risk mitigation strategies, list real-time monitoring and incident response solutions, list options involved with harmonizing edge computing standards across different regions and industries, and more.

Topics for Module 1 will include risk analysis and security risks for edge computing. Module 2 consists of risk prioritization, developing a risk mitigation strategy for edge computing, real-time monitoring, and scalable and adaptive security solutions. During Module 3, you will gain knowledge of compliance with international security standards and ways to stay compliant and updated with changes in edge computing.