Internet Of Things Training
Learn all of the necessary IoT theory and skills for embedding physical objects with sensors, processing power, software, and other technologies that connect and exchange data with other devices. Internstech will also provide you with firsthand, real-world experience to help you get your foot in the door and succeed as an IoT Engineer.
WHY LEARN FROM INTERNSTECH?
Training lessons in real time
Outstanding Teachers
Internship Experience
Industry Oriented Projects
LMS Access
Professional Certifications
OVERVIEW OF THE PROGRAM
The Internet of Things refers to physical objects embedded with sensors, processing power, software, and other technologies that connect to and exchange data with other devices and systems via the Internet or other communication networks. The goal of the Internet of Things is to have devices that self-report in real-time, increasing efficiency and bringing important information to the surface faster than a system that relies on human intervention.
The information collected by IoT devices, which go through five stages of the IoT lifecycle, creates added value for businesses. To begin, create a phase in which devices or sensors collect data from their surroundings. The data from smart connected devices can be used to generate insights that can help businesses, customers, and partners; secondly, communicate phase, where the data and events generated are sent through the network to the desired destination; thirdly, aggregate phase, where data collected are aggregated by devices themselves; and fourthly, analyse phase, where the aggregated data can be used to generate basic patterns, control, and optimise after further sophisticated analytics.
Aside from having a prestigious job profile, IoT is one of the most interesting industries to work in. In India, the salary of IoT professionals is nearly 76% higher than that of IT professionals. While IoT professionals earn a median salary of 15.2 LPA, IT professionals earn around 8.65 LPA.
At InternsTech, we prioritise providing our interns with the practical skills they need to thrive. However, this does not imply that the subject's theory is exempt from our course. We will show you the theoretical concepts and practical skills you will need to thrive. We will also provide you with hands-on experience from our top associated mentors who are well-known in their areas.
WHY LEARN FROM INTERNSTECH?
- Overview
- Scope & Application
- Challenges
- Layer of IoT
- What is a microcontroller?
- ATMega 328p
- Architecture and block
- What is Arduino?
- Working of Arduino
- integration of sensors and actuators
- DC Motors, Servo and Stepper Motors
- Arduino IDE
- Variables, Keywords and structures
- Operators and functions
- I2C
- SPI
- Bluetooth
- Wi-Fi
- Zigbee
- Transport layer protocol
- Introduction of TCP & UDP
- Difference between TCP/UDP
- Transport layer protocol
- Data acquisition from sensors
- Establish HTTPS connection using Wi-Fi
- Establish HTTPS connection using Wi-Fi,
- Send Data to ThingSpeak rest API over http
- Create rules in ThingSpeak
- IFTTT
- MQTT
PROJECTS
IDR Based Colour Description System
IoT based weather reporting system
Home Automation System
Face Recognition Bot
Smart Garage Door
Smart Alarm Clock
PRICING PLAN
SELF PACED
₹ 4000
- RECORDED LECTURES
- REAL TIME PROJECTS
- 4+ HRS OF LIVE SESSIONS
- ONE ON ONE DOUBT SESSIONS
- CERTIFICATIONS
- MENTOR SUPPORT
- PLACEMENT GUIDANCE
- INTERVIEW ASSISTANCE
MENTOR LED
₹ 6000
- RECORDED LECTURES
- REAL TIME PROJECTS
- 16+ HRS OF LIVE SESSIONS
- ONE ON ONE DOUBT SESSIONS
- CERTIFICATIONS
- MENTOR SUPPORT
- PLACEMENT GUIDANCE
- INTERVIEW ASSISTANCE
OUR CERTIFICATION
What Our Clients Say
Our Alumni Work At
Our alumni are already starting to make waves in their industries. Our former students are already working in high-profile industries and are shaping our futures.
Frequently Asked Questions
Yes, IoT is used in predictive maintenance as well. Predictive maintenance is a method of maintenance created with IoT that relies on data from a variety of sources, including machine components and other indicators, to notify an owner/operator of items that require attention before any service interruption occurs. Predictive maintenance frequently necessitates a large amount of historical data in order to function properly. We will cover predictive maintenance in our course and give our students practise with it.
Industrial equipment monitoring employs a network of connected sensors, either built into the machine or retrofitted, to notify owners/operators of a machine's output, component conditions, need for service, or impending failure. Industrial equipment monitoring is an Internet of Things (IoT) solution that can use an IoT platform to unify disparate data and enable decision-makers to respond to real-time data.
Our self-paced and mentor-led courses both last two months. Our advanced classes are three months long.
InternsTech offers placement assistance to all advanced course students. Students who excel during their internships in our self-paced and mentor-led courses will also receive placement assistance.
Yes, InternsTech provides internship opportunities to all of our students across all of our courses.
Yes, you can reserve your spot by paying 1000 INR as a pre-registration fee, and the remaining amount can be paid later before the programme begins.