[Free] Introduction To Iot With Edge Devices, Sensors &Amp; S/Protocols
Learn IoT with Edge Devices, Sensors and Real-World Applications in Smart Cities, Industrial Automation & Robotics – Free Course
What you’ll learn
- Understand the difference between IoT, Edge Computing and Edge Machine Learning
- Explore the different types of Input & Output Devices
- Recognize the different type of pins on an Edge device – Power, Analog, Digital & PWM
- Understand the working of an Analog-to-Digital-Converter (ADC)
- Deep dive into the working of different serial protocols – UART, SPI and I2C
- Delve into the working and real-world use cases of 9 different sensors – vision, humidity, radiation, gas etc.
- Compare & contrast 5 popular edge devices like Arduino Nano 33 BLE Sense, Raspberry Pi 5 etc.
- Explore TinyML and understand how it differs from Edge Machine Learning
Requirements
- No prior knowledge of electronics/engineering needed. You will learn everything you need to know.
Description
Are you ready to dive into the exciting world of Internet of Things (IoT) and Edge AI?This beginner-friendly course provides a complete introduction to IoT systems, focusing on edge computing, sensors, edge devices, and TinyML — the cutting-edge technology enabling machine learning on low-power devices.
Whether you’re a student, developer, or tech enthusiast, this course will equip you with practical skills to build real-world IoT applications in smart cities, healthcare, agriculture, automation, and beyond.
Disclaimer: This course contains the use of artificial intelligence.
What You’ll Learn
By the end of this course, you will:
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Understand the architecture of IoT systems and the role of sensors, edge devices, and communication protocols
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Learn how to choose the right sensor (e.g., vision, gas, temperature, motion) based on use case requirements
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Explore and compare different edge devices like Arduino Nano 33 BLE Sense, Nicla Vision, OpenMV Cam H7 Plus, Portenta H7, and Raspberry Pi 5
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Learn how serial protocols enable communication between IoT components and ensure data transmission reliability
Real-World Applications Covered
We don’t just teach theory — we bring it to life with real-world applications, including:
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Security & Surveillance: Detect intrusions, and reduce traffic violations using vision and motion sensors
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Healthcare: Monitor patient vitals, detect fall events, and enable smarter elder care through wearable sensors and edge ML
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Agriculture & Aquaculture: Automate watering, detect pests or fish feeding patterns using camera-based edge AI
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Smart Cities: Use vision sensors for traffic flow optimization, toll automation, air quality monitoring, and forest fire alerts
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Industrial Automation: Monitor asset performance, predict failures, and improve supply chain efficiency
Edge Devices You’ll Explore
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Arduino ecosystem (Nano 33 BLE, Nicla Vision, Portenta H7)
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OpenMV Cam H7 Plus
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Raspberry Pi 5
Why Take This Course?
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Google-optimized learning: Our curriculum is packed with trending tech keywords to help you stand out in job searches and projects
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Comprehensive and beginner-friendly: No prior experience needed! Learn step-by-step through explanations and real-world examples
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Future-proof your skills: Edge AI and TinyML are rapidly growing—get ahead of the curve with this foundational course
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Fun & Easy to Follow: Our AI-generated audio brings lessons to life, making content more enjoyable and easier to absorb every step of the way
Join us and take your first step toward becoming an IoT innovator. Whether you’re looking to build smart devices, explore Edge AI, or create impactful tech solutions, this course will give you the tools and confidence to succeed!
Author(s): Mohil Bajaj
