IoT (Internet of Things) Online Live Class by Experts
Our Training/Internship Process
IoT (Internet of Things) - Syllabus, Fees & Duration
Module 1 - Introduction
- Concepts & Definitions
- Myth with IoT
- Business with IoT
- Carrier in IoT
- IoT Applications
- IoT system overview
- Node, Gateway, Clouds
- Why IoT is essential
- Machine learning
- Artificial Intelligence
Module 2 - IoT Architecture
- IoT Network Architecture
- IoT Device Architecture
- IoT Device Architecture
- Publish-Subscribe architecture
Module 3 - IoT Device Design
- Sensors
- Classification & selection criteria based on the nature ,frequency and amplitude of the signal
- Embedded Development Boards – Arduino, Raspberry Pi, Intel Galileo, ESP8266
Module 4 - IoT Communication Protocols
- Wired Communication Protocols
- Wireless Communication Protocols
- Application Protocols – MQTT, CoAP, HTTP, AMQP
- Transport layer protocols – TCP vs UDP
- IP- IPv4 vs IPv6
Module 5 - Cloud
- Concept & Architecture of Cloud
- Public cloud vs Private cloud
- Different Services in cloud (IAAS / PAAS / SAAS)
- Importance of Cloud Computing in IOT
- Leveraging different Cloud platforms.
Module 6 - Designing The IoT Product
- Interfacing peripherals & Programming GPIOs - Input/output peripherals, Sensor modules
- Design Considerations – Cost, Performance & Power Consumption tradeoffs
Module 7 - Programming
- Embedded C
- Python
- Arduino
Module 8 - Hands-On Using Raspberry Pi Board
- Setting up board
- Booting up Raspberry Pi
- Running python on Raspberry Pi, GPIO programming
- Interfacing sensors and LED (Input and output devices)
- Making a few projects
- Sending data to cloud 2 using Raspberry Pi board
- Sending data to cloud 3 using Raspberry Pi board
- Making raspberry Pi web server
- Making raspberry PI TCP client and server
- Making raspberry Pi UDP client and server
Module 9 - Use Cases
- A cloud-based temperature monitoring system using Arduino and Node MCU
- Esp8266 WIFI controlled Home automation
- Obstacle detection using IR sensor and Arduino
- Remote controlling with Node MCU
- Temperature monitoring using a Raspberry Pi as local server
- Raspberry Pi controlling Esp8266 using MQTT
- weather monitoring system using Raspberry Pi and Microsoft Azure cloud
Module 10 - Closer
- Existing Product in Market
- Barrier in IoT
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 60 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsHybrid.com
- Training/Internship Certificate
- Atlanta
- Austin
- Baltimore
- Boston
- Charleston
- Charlotte
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- Colorado Springs
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- Dallas
- Denver
- Detroit
- Fort Worth
- Fresno
- Honolulu
- Houston
- Indianpolis
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- Las Vegas
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- San Antonio
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- San Francisco
- San Jose
- Seattle
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- Tucson
- Tulsa
- Virginia Beach
- Washington
- Wichita
Course Highlights
Our Locations
Nestsoft will provide the best IoT training on-site with the assistance of field specialists. The term "Internet of Things" refers to devices that aren't typically expected to have an internet connection but will communicate with the network without the need for human intervention. The advantages of IoT for business depend on how it is implemented; agility and efficiency are frequently top priorities. The Internet of Things (IoT) is a coinage for a network of physical objects linked by sensors, software, and knowledge.
In a variety of ways, IoT and packaging, as well as sensors, QR codes, and augmented reality/virtual reality/mixed reality possibilities, work together.
. It is a network that connects machines all over the world to OTR equipment to improve data collection, analysis, and communication. They will also examine the costs, efficiencies, and, consequently, the carbon footprint of various resources to make better decisions in their manufacturing operations. Let's start with how devices connect to the internet and then move on to applications. Exploring IoT data in the field can provide you with a much better understanding of how a product works in a user's everyday life. 
