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 Tampines
- Mobile App Develpment Courses in Tampines
- Website Design Courses in Tampines
- Networking and Security Courses in Tampines
- Digital Marketing (SEO) Courses in Tampines
- Graphics Training Courses in Tampines
- Cloud Computing Courses in Tampines
- Mean Stack Development Courses in Tampines
- Python Full Packages Courses in Tampines
- Animation & Video Editing Courses in Tampines
- Mern Stack Development Courses in Tampines
Course Highlights
Featured Courses
An intelligent camera using the Internet of Things can monitor dangerous environments or detect when a machine's light indicates abnormal conditions. Let's start with how devices connect to the internet and then move on to applications.
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. The expansion of the Internet of Things has aided an increase in the number of deployments in buildings centered on remote monitoring.
.
In a variety of ways, IoT and packaging, as well as sensors, QR codes, and augmented reality/virtual reality/mixed reality possibilities, work together.
The goal is to enable data and information sharing among different devices. They will also examine the costs, efficiencies, and, consequently, the carbon footprint of various resources to make better decisions in their manufacturing operations. Thanks to the Internet of Things, we now have real-time data for the first time.
