IoT (Internet of Things) Training by Experts
Our Training 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 jobsNEAR.in
- Training/Internship Certificate
- Web Development Courses in Dundalk
- Mobile App Develpment Courses in Dundalk
- Website Design Courses in Dundalk
- Networking and Security Courses in Dundalk
- Digital Marketing (SEO) Courses in Dundalk
- Graphics Training Courses in Dundalk
- Cloud Computing Courses in Dundalk
- Mean Stack Development Courses in Dundalk
- Python Full Packages Courses in Dundalk
- Animation & Video Editing Courses in Dundalk
- Mern Stack Development Courses in Dundalk
Course Highlights
Featured Courses
It is a network that connects machines all over the world to OTR equipment to improve data collection, analysis, and communication.
The Internet of Things (IoT) depicts how objects are linked to create a smart environment. The goal of automation is frequently efficiency, but it's easier said than done if you're acting on instinct or assumptions. We will remotely monitor our homes and businesses to keep them safe. There are numerous opportunities in this field.
The most appealing aspect of IoT is that it has good sensors that will constantly monitor changing environmental conditions and alert us to impending disasters. The Internet of Things (IoT) is a coinage for a network of physical objects linked by sensors, software, and knowledge. IoT concepts center concentrating a wide range of sensors and intrinsic devices to the internet to make work easier and more efficient.
. They will also examine the costs, efficiencies, and, consequently, the carbon footprint of various resources to make better decisions in their manufacturing operations.
