Description
Introduction to IoT with Edge Devices, Sensors & S/Protocols. This introductory course provides a comprehensive introduction to Internet of Things (IoT) systems, focusing on the concepts of edge computing, types of sensors, and communication protocols, providing a foundation for understanding advanced technologies such as TinyML. TinyML helps run machine learning models on resource-constrained devices. The course content covers practical applications of these technologies in various fields, including smart cities, healthcare, agriculture, and industry. For example, in smart cities, topics such as security monitoring and traffic management with sensors are covered. In healthcare, wearable sensors for health monitoring are taught, and in agriculture, methods such as smart irrigation and pest detection with edge AI-enabled cameras are explored. This course is designed to bridge the gap between theory and practice and provides numerous concrete examples to equip students, developers, and enthusiasts with the skills needed to develop real-world IoT and edge AI projects. Some parts of the content are powered by AI.
What you will learn
- Understand the fundamental differences between Internet of Things (IoT), Edge Computing, and Edge Machine Learning.
- Identify and examine different types of input and output devices in embedded systems.
- Familiarity with the types of pins available in edge devices, including Power, Analog, Digital, and PWM pins.
- A complete understanding of how an analog-to-digital converter (ADC) works in processing sensor data.
- In-depth performance analysis of popular serial communication protocols including UART, SPI, and I2C.
- Investigating the performance and real-world applications of 9 different types of sensors, including vision, humidity, radiation, and gas sensors.
- Expert comparison of 5 widely used edge devices such as Arduino Nano 33 BLE Sense and Raspberry Pi 5.
- Familiarize yourself with the concept of TinyML and understand its differences from traditional machine learning in edge environments.
- How to choose the right sensor based on the specific needs of each educational or industrial project.
This course is suitable for people who:
- Graduates and young professionals looking to learn the concepts of Internet of Things and edge computing.
- Startup founders who aim to build smart products based on new technologies.
- Those interested in the field of robotics, drones, and self-driving cars who require knowledge of hardware and communication protocols.
- Software developers who want to expand their skills into the world of edge hardware and AI.
- Engineering and computer science students who are looking to learn future-oriented and practical skills in the job market.
Course details
- Publisher: Udemy
- Instructor: Mohil Bajaj
- Training level: Beginner to advanced
- Training duration: 2 hours
- Number of lessons: 32
Course topics
Prerequisites for the Introduction to IoT with Edge Devices, Sensors & S/Protocols course
- No prior knowledge of electronics/engineering needed. You will learn everything you need to know.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.1 GB
