Course Overview

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In the world of digitalization, Internet of Things (IoT) is the foundation for digitalization for Industries and one of the most important technologies under Industry 4.0. IoT is enabling industries to make their gadgets, physical devices and objects create and consume data which in turn gives them the ability to make use of a data-driven model of business. IoT skills are one of the most preferred skills required for IT Professionals and are one of the first choices by IT professionals across the world when it comes to reskilling.

This course covers all the standard hardware platforms, popular IoT Cloud platforms such as AWS IoT, IBM Watson IoT, Thingboard etc.

The Course covers

IoT Hardware – Arduino, Raspberry Pi	Communication Modules – HC05, ESP8266	Communication Protocols- HTTP, MQTT and CoAP	Cloud Platform- Node-Red, AWS IoT, IBM Bluemix and IBM Watson IoT, IoT Analytics

Course Objective

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1. Make the learner a confident IoT Professional having relevant skills to get started with an IoT Project.
2. Make the learner work with standard IoT Protocols such as MQTT, AMQP, CoAP and HTTP which in turn make them expert in developing IoT Products.
3. Understand IoT Market point of view and how IoT is being adapted by Industries like Automobile, Mining, Oil & Gas, Healthcare, Retail etc.
4. Data and Knowledge Management and utilization of Devices in IoT Technology.
5. Understand State of the Art – IoT System Architecture.
6. Real World IoT Design Constraints, Industrial Automation and Commercial Building Automation in IoT.
7. Make them learn and work with standard projects related to the Internet of Things.
8. At the end the course makes one become a demanding candidate to get hired for an IoT role in any industry.
9. Make a learner easily land up to a job role of either IoT Developer, IoT Architect in IT Industry by iot tutorial.

Course Outcome

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1. The learner will get a sound understanding of core concepts and subdomains of IoT and Industry 4.0
2. A learner will get proficiency in writing codes for developing IoT Gateway, collecting telemetry data, and visualizing data.
3. The learner will be able to land up in a job role of an IoT Professional, working on IoT projects.
4. The Learner can also easily switch from an existing job role with around 20% hike from the current salary switch to any of the fields where IoT and Industry 4.0 techniques are being used.

10 Possible Project (5 projects will be covered out of given 10 Projects 

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1. Smartphone Controlled Home Automation over Bluetooth
2. IoT Gateway over XBee and CoAP
3. Smart Factory Sensor Data Visualization & Analytics using IBM Bluemix & Node-red
4. Industrial IoT – Alert Generation using AWS IoT and AWS SNS
5. Smart Parking management system using Raspberry Pi, Arduinos, WAMP and MQTT
6. IoT Gateway using MQTT and Raspberry Pi
7. Weather Station using ESP8266 and Thingspeak open IoT Platform
8. Smart Home Automation using Thingsboard
9. Factory Data Visualization using IBM Watson IoT
10. Industrial IoT using Siemens PLC and Raspberry Pi with Microsoft Azure IoT

Course Features

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• More than 80% hands-on session
• Project-oriented learning
• Cloud-based LMS
• Experienced Trainer
• Masterclass for Expert
• Standard reading materials
• Study resources
• Graded Quizzes
• Real-time case study-based projects
• Discussion Forum

Mode of Training

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Online Live Instructor-Led Course

Suggested Job Profile after taking this course

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After completion of this IoT Course learner directly land upon given Job Profiles

1. IoT Product Manager
2. IoT Developer
3. IoT Architect
4. Industrial Data Scientist
5. Industry 4.0 Architect
6. Chief IoT Officier
7. Industrial Network Engineer
8. IoT Cloud Architect and others

List of hardware components required

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TechTrunk will provide a kit which consists given components, a learner will receive this kit within 3-4 working days after enrollment

1. Arduino Uno
2. USB Type II Cable
3. IR Proximity Sensor
4. DHT11 Module
5. MQ2 Gas Sensor
6. HC05
7. ESP8266
8. Breadboard
9. LEDs
10. Resistors
11. Connecting Wires
12. Raspberry Pi 3
13. Micro SD Card Class 10 – 16GB
14. Card Reader
15. Micro USB Cable
16. Ethernet Cable
17. 12V Relay Module

Software and tools 

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Python 3.x ( Download  )

More python packages need to be installed, the details of which will be provided to the learner

Arduino ( Download )

Course Code

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TTV/IND/00027

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