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 Boston
- Mobile App Develpment Courses in Boston
- Website Design Courses in Boston
- Networking and Security Courses in Boston
- Digital Marketing (SEO) Courses in Boston
- Graphics Training Courses in Boston
- Cloud Computing Courses in Boston
- Mean Stack Development Courses in Boston
- Python Full Packages Courses in Boston
- Animation & Video Editing Courses in Boston
- Mern Stack Development Courses in Boston
Course Highlights
Featured Courses
.
In a variety of ways, IoT and packaging, as well as sensors, QR codes, and augmented reality/virtual reality/mixed reality possibilities, work together. Let's start with how devices connect to the internet and then move on to applications.
IoT was once more appealing to business and manufacturing, where it is commonly referred to as machine-to-machine (M2M), but now the emphasis is on equipping our homes and offices with smart gadgets, making it relevant to almost everyone. Maybe you built a smart air conditioner or lighting system with weather-based automation settings. The advantages of IoT for business depend on how it is implemented; agility and efficiency are frequently top priorities.
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. An intelligent camera using the Internet of Things can monitor dangerous environments or detect when a machine's light indicates abnormal conditions. It is a network that connects machines all over the world to OTR equipment to improve data collection, analysis, and communication.
The goal is to enable data and information sharing among different devices.
