Course Description

The IoT Security Practitioner course provides in-depth skills to secure Internet of Things (IoT) devices, networks, and applications across modern connected environments. As IoT adoption grows in smart homes, industries, healthcare, automotive, and critical infrastructure, the need for skilled IoT security professionals has never been greater.

This course focuses on understanding IoT architecture, identifying vulnerabilities, securing communication channels, implementing strong authentication, and defending IoT ecosystems from real-world attacks. Learners will explore hardware security, embedded systems, wireless protocols, cloud integration, and OT/IIoT security challenges.

Through hands-on labs, practical case studies, and tool-based demonstrations, you will gain the technical expertise needed to detect threats, assess risks, perform IoT penetration testing, and deploy robust security controls. The training prepares you to secure end-to-end IoT environments using global best practices.

 Key Highlights / Points  Core Learning Concepts

• Understand IoT architecture, components, communication protocols, and ecosystem risks.

• Identify vulnerabilities in IoT devices, firmware, networks, and cloud interfaces.

 Practical Security Skills

• Perform IoT penetration testing, threat analysis, and secure configuration.

• Implement encryption, authentication, access control, and secure firmware updates.

 Network & Wireless Security

• Protect IoT networks using Wi-Fi, Bluetooth, Zigbee, LoRaWAN, and other wireless standards.

• Apply intrusion detection, segmentation, monitoring, and network hardening.

 Hardware & Embedded System Security

• Analyze hardware components, sensors, microcontrollers, and embedded OS risks.

• Explore JTAG, UART, SPI vulnerabilities and techniques for secure hardware design.

 Cloud & Edge Security

• Secure IoT cloud platforms, APIs, device management systems, and edge computing.

• Protect data flows, cloud storage, and remote communication channels.

 Real-World Use Cases

• Smart home, industrial IoT (IIoT), healthcare devices, automotive IoT, and smart cities.

• Hands-on labs and simulations based on real enterprise IoT deployments.