Industrial Training

• "Internet of things is the future of connectivity. Today most of the networks service human to human interactions. In the near future there will be thrust on machine to machine communication and this will lead to a connected world of things. The devices in our home, offices and elsewhere will be connected to each other. The research in this lab will help us inch closer to the broader goal and for research scholars. Also students can utilize this lab for their hands on purpose and develop projects on their own with industrial expertise guidance.
• Internet of Things is the concept of connecting physical and smart devices, other than traditional devices such as computers, smartphones and tablets, to the internet. This can include devices such as cars, kitchen appliances, heart rate monitors, lights inside a home or an office building, alarm clocks and others gargets so that data can be exchanged through the sensors inside them. The concept of the Internet of Things was invented by and term coined by Peter T. Lewis in September 1985.
• Gartner, Inc forecasts that 8.4 billion connected things will be in use worldwide in 2017, up 31% from 2016, and will reach 20.4 billion by 2020. Total spending on endpoints and services will reach almost $2 trillion in 2017.

Day 1

Module 1

Introduction to the Internet of Things

• What is the IoT and why is it important?
• Elements of an IoT ecosystem.
• Technology drivers.
• Business drivers.
• Typical IoT applications.
• Trends and implications.

Module 2

• Introduction to microcontroller (arduino or raspberry pi)

Day 2

Module 3

• Microcontroller — theory.
• Working principle of microcontroller.
• GPIO of microcontroller.
• Architecture of micro controller.

Module 4

• Developing general codes in microcontroller.
• Interfacing analog /digital sensor with microcontroller.
• Interfacing relay board, zigbee, gsm modules.
• Working on UART communication

Day 3

Module 5

• Introduction to IOT SERVER.
• Working with thingspeak.

Module 6

Connectivity and networks

• Wireless technologies for the IoT.
• Edge connectivity and protocols.
• Creating IOT account

Day 4

Module 7

Analytics and applications

• Signal processing, real-time and local analytics.
• Databases, cloud analytics and applications.

Module 8

Connectivity and networks

• Local processing on the sensor nodes.
• Connecting sensors to cloud.
• Processing offline data.
• Creating private cloud. (Infoziant-server)
• Interfacing IOT board with private cloud.
• Creating output window using php.

Day 5

• Mini product development

This course is specially designed for the B.Tech/B.E, M.Tech/M.E and all other IT related Graduates and Post Graduate students.