Description
ESP32 Smart IoT: Multi-Sensor and Cloud Dashboard is a course on building smart IoT systems using the ESP32 microcontroller published by Udemy Online Academy. This is a hands-on course that focuses on building smart IoT systems using the ESP32 microcontroller. The course guides individuals through connecting multiple sensors, collecting real-time data, and transmitting it to cloud platforms for monitoring and analysis. You will learn how to design interactive cloud dashboards, visualize sensor data, and remotely manage devices, and gain a complete understanding of IoT development from start to finish, from hardware integration to cloud-based insights.
The course includes step-by-step videos, circuit diagrams, and ready-to-use code. You will also learn how different sensors work in real-world environments, how to troubleshoot common problems, and how to design efficient IoT circuits. Each lesson focuses on clarity, practical practice, and real-world application, making the learning experience fluid, engaging, and highly effective for learners of all skill levels who want to confidently master IoT development and independently build innovative projects.
What you will learn in ESP32 Smart IoT: Multi-Sensor and Cloud Dashboard:
- Understanding ESP32 architecture and features
- Interfacing sensors like LED, DHT11, PIR, Ultrasonic etc.
- Connecting ESP32 to cloud services like Thinger Cloud/ ThingsBoard
- Building smart home automation and IoT projects
- And…
Course specifications
Publisher: Udemy
Instructors: Satish R Pawale
Language: English
Level: Introductory to Advanced
Number of Lessons: 20
Duration: 3 hours and 14 minutes
Course topics

ESP32 Smart IoT: Multi-Sensor and Cloud Dashboard Prerequisites
Basic knowledge of C/C++ programming or Arduino IDE is helpful but not mandatory. Basic electronics understanding recommended.
Pictures

ESP32 Smart IoT: Multi-Sensor and Cloud Dashboard introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.4 GB