IoT Training
Introduction to IoT
Gain an overview of the Internet of Things (IoT), including its definition, applications, and impact on various industries. Learn about the key components of IoT systems and the benefits of connecting devices and systems.
Getting Started with IoT Devices
Learn the basics of working with IoT devices. Understand how to set up and configure IoT hardware, connect devices to networks, and start collecting and analyzing data from IoT sensors and actuators.
IoT Communication Protocols
Explore the various communication protocols used in IoT. Learn about protocols such as MQTT, CoAP, and HTTP/HTTPS, and understand how they enable communication between IoT devices and servers.
IoT Data Management and Analytics
Discover how to manage and analyze data generated by IoT devices. Learn about data collection, storage solutions, and analytics techniques to extract valuable insights from IoT data.
Building IoT Applications
Learn how to build applications for IoT systems. Explore how to design and develop software that interacts with IoT devices, processes data, and provides user interfaces for monitoring and control.
Security and Privacy in IoT
Understand the importance of security and privacy in IoT. Learn about common security challenges, best practices for securing IoT devices and networks, and strategies for protecting data and user privacy.
IoT Cloud Platforms
Explore cloud platforms that support IoT applications. Learn about services provided by platforms such as AWS IoT, Microsoft Azure IoT, and Google Cloud IoT, and how to leverage them for scalable and reliable IoT solutions.
IoT Integration and Interoperability
Discover how to integrate and ensure interoperability between different IoT devices and systems. Learn about standards, APIs, and methods for connecting diverse IoT components within a unified ecosystem.
IoT Project Management
Learn about managing IoT projects from inception to deployment. Understand project planning, resource allocation, and risk management specific to IoT projects, and how to ensure successful implementation.
Hands-On Labs and Practical Projects
Engage in hands-on labs and practical projects to apply your knowledge of IoT. Work on real-world scenarios to develop skills in deploying, managing, and optimizing IoT systems and applications.
IoT Syllabus
1. Introduction to IoT
- Concepts and Definitions
- Concepts & Definitions
- Myths about IoT
- Business Applications of IoT
- Career Opportunities in IoT
- IoT Applications
- IoT System Overview
- Node
- Gateway
- Clouds
- Why IoT is Essential
- Machine Learning
- Artificial Intelligence
2. IoT Architecture
- IoT Network Architecture
- IoT Device Architecture
- Publish-Subscribe Architecture
3. IoT Device Design
- Sensors
- Classification and Selection Criteria Based on Signal Nature, Frequency, and Amplitude
- Embedded Development Boards
- Arduino
- Raspberry Pi
- Intel Galileo
- ESP8266
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
5. Cloud Computing
- Concept and Architecture of Cloud
- Public Cloud vs Private Cloud
- Different Cloud Services
- IAAS
- PAAS
- SAAS
- Importance of Cloud Computing in IoT
- Leveraging Different Cloud Platforms
6. Designing the IoT Product
- Interfacing Peripherals and Programming GPIOs
- Input/Output Peripherals
- Sensor Modules
- Design Considerations
- Cost
- Performance
- Power Consumption Trade-offs
7. Programming
- Embedded C
- Python
- Arduino
8. Hands-On Using Raspberry Pi
- Setting Up the Board
- Booting Up Raspberry Pi
- Running Python on Raspberry Pi
- GPIO Programming
- Interfacing Sensors and LEDs (Input and Output Devices)
- Making a Few Projects
- Sending Data to Cloud
- Making a Raspberry Pi Web Server
- Making Raspberry Pi TCP Client and Server
- Making Raspberry Pi UDP Client and Server
9. Use Cases
- Cloud-Based Temperature Monitoring System Using Arduino and NodeMCU
- ESP8266 WiFi Controlled Home Automation
- Obstacle Detection Using IR Sensor and Arduino
- Remote Controlling with NodeMCU
- 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
10. Closer
- Existing Products in the Market
- Barriers in IoT
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details