Applications of AIoT (ENG235)

Upon the completion of the ENG235 Applications of AIoT course, students will be able to appreciate the essential knowledge, emerging trends and applications of AIoT in various industries such as manufacturing, supply chain, healthcare, energy and utilities, public transportation, banking and finance, and smart nation. Students will be introduced to the end-to-end approach of AIoT projects and provided with practical approach and frameworks on how to analyse problems and evaluate various devices, communication, and computing infrastructure and platforms. They will also be exposed to the cybersecurity, data privacy and ethical concerns. Students will learn innovative business and commercial models to help create value for organisations and justify return on the investment. At the end of the module, students will learn how to conceptualise an end-to-end real-world case of an AIoT solution.

• Emerging trends of AI, GenAI and IoT. Convergence of AI and IoT.
• Integrated operational workflows
• Qualitative and quantitative evaluation criteria
• Enterprise AIoT solutions
• Devices, gateways, sensors, actuators
• Communication technologies
• Edge, fog, cloud computing technologies
• AI/GenAI platforms, Low-code, no-code platforms
• Cyber threats and cybersecurity frameworks
• Data Privacy and Ethical AI
• Business model matrix
• Return on Investment and End-to-End AIoT solution

• Cite industry emerging trends and challenges
• Describe customer specific operational and business problems
• Develop problem evaluation criteria, qualitative and quantitative rubric
• Analyse suitable devices, communication and computing infrastructure, and platforms for the AIoT solution
• Appraise the cybersecurity threats, privacy and ethical and framework in AIoT solution
• Formulate the cost-based and value-based business model matrix
• Recommend the relevant commercial model and Return on Investment model
• Create an end-to-end AIoT solution architecture diagram and business case for a customer