Embedded IoT Training

Course Overview

The Embedded IoT Training course is designed to provide participants with a comprehensive understanding of the Internet of Things (IoT) and its applications in embedded systems. This course covers the fundamental concepts, architecture, and technologies that power IoT solutions. Participants will gain hands-on experience in designing, developing, and deploying IoT devices, with a strong emphasis on security and real-world applications.

A cityscape at night overlaid with various interconnected IoT icons, including locks and cloud symbols, indicating networked devices and security features. The text "IoT" is prominently displayed in the center, with "Embedded IoT Training" at the bottom.

Course Objectives

Understand IoT and Embedded Systems Fundamentals: Introduce students to the concept of IoT, embedded systems, and the convergence of the two domains.

Master Embedded System Programming: Learn essential programming languages and techniques for developing applications on embedded platforms.

Explore IoT Protocols and Communication: Study communication protocols commonly used in IoT, including MQTT, CoAP, and Bluetooth Low Energy (BLE).

Work with Sensor Integration and Data Acquisition: Gain practical experience in integrating sensors with embedded systems and acquiring sensor data.

Implement IoT Device Security: Understand IoT security challenges and best practices for securing embedded IoT devices.

Develop IoT Applications on Embedded Platforms: Learn how to create IoT applications for embedded systems using C/C++ and Python.

Engage in Real-World Embedded IoT Projects: Work on practical projects that involve developing and deploying IoT solutions on embedded platforms.

Course Modules:

Module-1: Introduction to IoT and Embedded Systems

Overview of IoT and its applications

Introduction to embedded systems and their characteristics

Convergence of IoT and embedded systems

Module-2: Embedded System Programming Basics

Programming languages for embedded systems (C/C++, Python)

Resource optimization and memory management in embedded environments

Cross-compilation and building for target architectures

Module-3: IoT Protocols and Communication

Common IoT communication protocols (MQTT, CoAP, BLE)

Device-to-cloud communication and IoT platform integration

Implementing secure communication over the internet

Module-4: Sensor Integration and Data Acquisition

Interfacing sensors with embedded systems

Sensor data acquisition and processing techniques

Integrating sensor libraries and drivers

Module-5: IoT Device Security and Secure Communication

Understanding IoT security challenges and threats

Implementing secure boot and device authentication

Securing communication channels in embedded IoT systems

Module-6: Developing IoT Applications on Embedded Platforms

Creating IoT applications using C/C++ and Python

Data processing and visualization for embedded systems

Interacting with cloud services and databases

Module-7: Embedded IoT Application Deployment and Remote Management

Packaging and deploying IoT applications on embedded platforms

Over-the-air (OTA) updates and remote management of devices

Monitoring and maintaining embedded IoT systems

Module-8: Real-World Embedded IoT Projects and Case Studies

Engaging in practical projects to develop and deploy IoT solutions on embedded platforms

Analyzing case studies of embedded IoT development challenges and solutions

Project presentations and discussions

Contact Us Now

Phone:

+91-9071123555

Email:

info@piestsystems.com

Registration