Course Title:
Internet of Things and AI Cloud Specialization
Course Description:
This Specialization covers the development of Internet of Things (IoT) products and services-including devices for sensing, actuation, processing, and communication-to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.
Course instructional level:
Intermediate
Course Duration:
3 Months
Hours: 64
Course coordinator:
Dr. B. A. Neole, Prof. Vipul Lande and Prof. A. Jaiswal
Course coordinator's profile(s):
Dr. Bhumika Amit Neole is an Assistant Professor in the Department of Electronics & Communication Engineering at RBU. With a teaching experience of 15 years and a brief industry exposure of 1 year, she brings a wealth of knowledge and practical insights to her students. Dr. Neole specializes in subjects such as Digital Circuits, Digital Signal Processing, Microcontrollers & Interfacing, Microprocessors, and Embedded Systems. She holds an M.Tech and Ph.D., reflecting her strong academic foundation in the field. Dr. Neole is passionate about shaping the next generation of engineers and can be reached via email at neoleba@rknec.edu.
Prof. Vipul Sureshrao Lande is an Assistant Professor in the Department of Electronics & Communication Engineering at RBU, with 18 years of teaching experience and 1 year of industry experience. He specializes in Signal Processing, Image Processing, Microprocessors, and Embedded Systems. He holds an M.Tech degree and is actively involved in academic research. Prof. Lande has been granted 4 patents and can be contacted via email at landevs@rknec.edu.
Prof. Ashlesh A. Jaiswal is an Assistant Professor in the Department of Electronics & Communication Engineering at RBU, with over 11 years of teaching experience and 4 years of industry experience. He specializes in a wide range of subjects, including Digital Signal Processing, Digital Image Processing, Computer Vision, Biomedical Signal Processing, Avionics, Deep Learning, Measurement and Instrumentation, and Internet of Things (IoT). Prof. Jaiswal holds an M.A.Sc. in Electrical Engineering, which underscores his strong academic background. His research and teaching interests focus on the application of advanced technologies in engineering and healthcare.Prof. Jaiswal can be contacted via email at jaiswalaa@rknec.edu.
Course Contents:
|
Module/Topic name |
Duration |
| 1.Internet of Things |
20 |
| 2.Internet of Things V2: DragonBoard bring up and community ecosystem |
20 |
| 3. Internet of Things V2: Setting up and Using Cloud Services |
10 |
| 4. Internet of Things: Communication Technologies |
5 |
| 5.Internet of Things: Communication Technologies |
5 |
| 6. Internet of Things Capstone V2: Build a Mobile Surveillance System |
4 |
Course Outcomes:
- Comprehensive Understanding of IoT Concepts: Students will be able to explain the fundamental concepts of the Internet of Things (IoT), including its ecosystem, architecture, and major applications across industries such as smart cities, healthcare, and consumer IoT.
- Proficiency in IoT Hardware and Devices: Students will gain hands-on experience working with IoT hardware, including sensors, actuators, and microcontrollers. They will also be adept in configuring communication protocols for wireless IoT connectivity.
- Software Development for IoT: Students will develop IoT systems using Python, with a solid understanding of IoT-specific operating systems and development platforms. They will be proficient in utilizing platforms like ThingsBoard to implement IoT solutions.
- IoT Networking and Protocols: Students will be able to apply networking principles to IoT projects, utilizing communication protocols like MQTT, HTTP, and CoAP, and will understand the role of edge computing in optimizing IoT systems.
- IoT Project Design and Implementation: Students will be equipped to design, prototype, and deploy complete IoT systems, integrating emerging technologies like AI and blockchain, and will successfully present comprehensive IoT projects with well-documented solutions.