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$0.00 Free
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3 Lessons( 10 week )
- Introduction to IIoT & Embedded Systems
- 1. Lesson 1: Introduction to IIoT & Embedded Systems 0 minute
- Historical Perspective
- 1. Lesson 2: Historical Perspective 0 minute
- Embedded Systems Hardware Fundamentals
- Embedded Systems Software & Firmware
- IoT Communication Protocols
- Edge Computing & Data Processing
- Cloud Platforms for IIoT
- IIoT Security and Privacy
- Capstone Project
- Career Opportunities
- 1. MCQ Questions – for export 1 minute
Course Summary
This comprehensive course provides a deep dive into the foundational principles and practical applications of the Industrial Internet of Things (IIoT) and embedded systems. Participants will begin by defining key terminologies and understanding the profound economic impact of this field. We'll trace the fascinating historical trajectory from traditional industrial automation to the sophisticated, interconnected factories of today, simultaneously exploring the evolution of embedded systems from simple microcontrollers to powerful System-on-Chips.
The curriculum covers the essential hardware and software components that form the backbone of these systems. You'll gain a solid grasp of microcontrollers, sensors, and actuators, learning how to interface with them effectively. The course delves into specialized software development, including the use of Real-Time Operating Systems (RTOS) and programming in C/C++. A significant focus is placed on crucial communication protocols, both wired and wireless, essential for industrial device connectivity. We’ll also explore the critical role of edge computing in reducing latency and bandwidth usage before transitioning to an overview of major cloud platforms for data management and visualization.
Security and privacy are paramount; thus, the course addresses common threats and best practices for securing IIoT networks. The learning experience culminates in a hands-on capstone project where you will design and implement a complete IIoT solution from the ground up, applying all the concepts learned. This project-based approach ensures a practical understanding of the entire IIoT lifecycle. Finally, we will outline prominent career paths and the required skill sets, providing a clear roadmap for a successful future in this dynamic and growing industry.
Course Overview
The Industrial Internet of Things (IIoT) and Embedded Systems are at the heart of the ongoing Fourth Industrial Revolution (Industry 4.0), transforming how industries operate. This course is designed to equip aspiring engineers and enthusiasts with the knowledge and practical skills needed to design, develop, and deploy robust IIoT solutions. It bridges the gap between traditional embedded systems and modern IoT paradigms, preparing you for a rewarding career in this rapidly growing field. You'll explore the interconnected world of sensors, actuators, edge computing, cloud platforms, and data analytics, learning how to create intelligent, automated, and secure industrial systems.
Course Objectives
- Gain a foundational understanding of IIoT and its key components.
- Master embedded systems design, from hardware selection to firmware development.
- Learn to connect and manage devices using various communication protocols.
- Develop skills in data acquisition, processing, and analysis at the edge and in the cloud.
- Understand and implement security best practices for IIoT systems.
- Explore popular IIoT platforms and tools for rapid prototyping and deployment.
- Acquire the ability to troubleshoot and maintain complex IIoT infrastructures.
- Prepare for a career in the IIoT and embedded systems engineering domain.
Course Outcomes
- Define the key components and architecture of an IIoT system.
- Select appropriate microcontrollers and sensors for industrial applications.
- Write embedded C/C++ code for real-time sensor data acquisition.
- Configure and use communication protocols like MQTT and Modbus.
- Design a simple IIoT gateway using a single-board computer.
- Create a data pipeline to send sensor data to a cloud platform.
- Implement basic security measures for an embedded device.
- Use a dashboard to visualize and analyze industrial data.
- Troubleshoot common issues in a deployed IIoT system.
- Present a complete, end-to-end IIoT project from concept to deployment.
Course Audience
- Engineering students in Electrical, Electronics, Computer Science, and related fields.
- Working professionals seeking to transition into the IIoT domain.
- Hobbyists and enthusiasts interested in building connected industrial projects.
- IT professionals looking to understand the hardware and communication aspects of IoT.
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