Managers responsible for business and operational processes within their respective manufacturing organizations and want to know how to harness IoT to make their systems and processes more efficient.

This course is recommended for participants who have an understanding of - 

• Basic knowledge of business operation, devices, electronics systems and data systems
• Basic understanding of software and systems
• Basic understanding of Statistics (in Excel levels)

Unlike other technologies, Internet of Things (IoT) is far more complex encompassing almost every branch of core Engineering-Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics and Mobile. For each of its engineering layers, there are aspects of economics, standards, regulations and evolving state of the art. This is for the first time, a modest course is offered to cover all of these critical aspects of IoT Engineering.

For engineers, most critical aspect is to understand the advancement in the area of Industrial Internet of things (IIoT), which includes predictive and preventative maintenance, condition-based monitoring of the machines, production optimization, energy optimization, supply-chain optimization and uptime of manufacturing utilities etc.

• Understand the various market segments and the potential revenue opportunities in each market segment
• Plan for and develop a solid security approach to keep advisories from hacking an IIoT system
• Staff a project and then plan and execute a product schedule
• What Industry 4.0 is and what factors have enabled the IIoT.

• Business Overview of Why IoT is So Important
• Introduction to IoT : All About Sensors
• Fundamentals of M2M Communication : Sensor Network and Wireless Protocols
• Review of Electronics Platform, Production and Cost Projections
• Hardware/Protocol Elements of IIOT for manufacturing
• Introduction to Mobile App Platform for IoT
• Machine Learning for Intelligent IIoT
• Analytic Engine for IIoT
• Security in IoT Implementation
• Database Implementation for IoT Cloud
• A few Common IIoT Systems for manufacturing
• Big Data for IoT