Internet of Things - Devices, Networks, AI, and Security

The Internet of Things (IoT) is not just a buzzword, it's a paradigm shift in the world of information systems. This course, designed for professionals with a background in computer engineering or related technical fields, offers a comprehensive exploration of IoT technologies and applications. Participants will engage with key concepts in IoT device architecture, network protocols, data analytics, generative AI integration, and security measures. By examining real-world case studies and current research, participants will advance their knowledge and skills in IoT system design. The course equips professionals to design and optimize IoT solutions, driving innovation in smart manufacturing, industrial automation, and connected systems. In this rapidly evolving field, this course is your key to staying ahead. 

Registration through TechCircle platform.  

IoT encompasses a network of interconnected devices embedded with sensors and software, enabling data collection and analytics. IoT technology's prominence stems from low-power, embedded devices, wireless communication, internetworking, data analytics potential, and automation capabilities. IoT applications span smart cities, industrial optimization, healthcare, and energy management. Its convergence with AI and 5G further enhances its transformative potential across sectors. While offering improved efficiency and user experiences, IoT also presents data security and privacy challenges, driving ongoing research and development in this rapidly evolving field.

The potential of working with IoT for information systems is immense, and we are here to help you tap into it. This engaging theoretical and hands-on course, led by Electrical and Computer Engineering experts, offers participants a unique opportunity to explore the practical applications of IoT technologies. You will gain insights into implementing IoT solutions across various domains through interactive sessions and hands-on examples, making the theoretical knowledge immediately applicable in your professional life. 

• IoT data flows and their characteristics
• Constraints of embedded devices
• Energy efficiency and scalability of IoT systems
• Wireless IoT networks and protocols 
• Message passing and IoT middleware
• Data collection, storage, integration, and processing
• Web technologies for IoT systems
• IoT network security 
• Integration of IoT with generative AI (GenAI), large language models (LLM) and retrieval-augmented generation (RAG)

• Explain how to design an IoT system from sensing to cloud
• Analyze the scalability, energy efficiency, and security of IoT systems
• Explain wireless technologies and networking aspects of IoT
• Familiarize with design tools to analyze IoT devices and networks
• Hand-on experience with the development of an IoT data flow, networks and integration with GenAI

The course requires active participation and collaboration. It will consist of preparation/reading and discussion of academic literature, theory presentations, and practical in-class laboratory exercises. 

Day 1 - 24 october from 9 to 16

• IoT network and service architecture and use cases
• Constrained IoT devices and design for energy-efficiency
• IoT data flows and their characteristics
• Introduction to Node-RED
• Message oriented-middleware and MQTT
• Time-series data and databases 
• Constrained RESTful web technology 

Day 2 - 31 october from 9 to 16

• IoT networks: communication models, mesh, and star topology
• Internet Protocol version 6 (IPv6) introduction
• 6LoWPAN adaption layer: fragmentation, header compression, and mesh networking
• Introduction to Contiki-NG and the uIP stack
• Routing in IoT networks and RPL protocol
• Thread, Matter, and interoperability

Day 3 - 7 november from 9 to 16

• IoT threat analysis
• IoT security architectures and security mechanisms 
• Wireless security for IoT (IEEE 802.15.4 security)
• Public key cryptography for IoT (PKI, DPKI)
• Decentralized identity and IoT blockchains
• IoT and Web 3.0
• Leveraging IoT data analytics with GenAI/LLM/RAG

The course hosts lunch and water; otherwise, no catering is included

• The course aims at those working with software in engineering functions or who have experience and skills in programming, preferably experience with embedded development.
• You must be affiliated with an organization.
• Bring a laptop computer with free storage space for the practical sessions. Instructions on preferred software installation will be distributed before the course.

This 3-day course is conducted in English.

The specialist course has been developed by Aarhus University in collaboration with TechCircle and the Engineering Association IDA. Highly specialized expertise from the university environment is included in the implementation of the courses.