Artificial Intelligence (AI) and the Internet of Things (IoT) for Real life Applications

The course provides a comprehensive overview of AI in IoT, methods, ‎models, programming languages, AI-driven data analytics, predictive ‎maintenance, smart devices, and ‎automation. Participants will learn how AI ‎can process vast amounts of ‎sensor data, making IoT systems more ‎efficient, scalable, and intelligent.‎ Also the course includes a practical demo session on auto ‎learning model of network incident prediction. A case study related to the ‎IoT domain will also be covered.‎

• IoT Introduction
• AI Fundamentals for IoT Systems
• Data Collection and Management in IoT
• IoT Data Communication
• IoT Data Storage & Retrieval: Edge AI for IoT
• AI-Driven Predictive Maintenance in IoT
• AI for IoT Security and Privacy
• Computer Vision in IoT

There are varied audiences that can reflect the micro-credential’s potential to meet the needs of learners at different career stages and institutional stakeholders. The AI and IoT micro-credential target a diverse audience, including:

• • Current Students: Enhances employability by equipping them with in-demand technical skills alongside their primary studies.
  • Prospective Students: Offers a flexible entry point into AI and IoT (AIoT), appealing to those considering a career in technology.
  • Adult Learners and Professionals: Supports career transitions or upskilling for individuals in industries undergoing digital transformation.
  • Alumni: Provides advanced training to stay competitive in evolving job markets.
  • Business/Industry Partners: Addresses workforce skill gaps by training employees in AI and IoT applications.
  • Community Partners: Equips local organizations with the tools to implement smart solutions, fostering community innovation.
  • Faculty/Staff: Encourages educators to integrate emerging technologies into their teaching and research.