Description
IoT Embedded System with ESP32 and Mobile App using AI is a course on building connected embedded systems using the ESP32 microcontroller published by Udemy Online Academy. Designed for embedded system developers, IoT enthusiasts, electronics students, and aspiring AI engineers, this course covers the complete workflow of creating smart connected devices, from hardware interfacing and sensor integration to wireless communications and mobile control. You will use the official ESP-IDF framework in VS Code to build highly structured, modular, and reusable layered software architectures. You will learn exactly how to break your middleware into independent components and manage advanced multi-application configurations – allowing a single ESP32 microcontroller to run multiple complex applications seamlessly.
Learners will explore ESP32 programming, GPIO and peripheral interfaces, Wi-Fi and Bluetooth connectivity, sensor data collection, cloud and mobile integration, AI-powered features, and real-time device monitoring. Using Android Studio, we’ll guide you through creating a custom mobile app designed to communicate with your ESP32 hardware using AI. If you’ve never done mobile development before, don’t worry – we break down the process step-by-step so that any developer with a basic understanding of C and hardware can follow along.
What you will learn in IoT Embedded System with ESP32 and Mobile App using AI:
- Design and implement a structured, layered embedded software architecture using ESP-IDF and VS Code.
- Build modular, reusable firmware by creating and managing custom components and handling multi-application environments on a single ESP32 microcontroller.
- Leverage AI-Driven Engineering (Spec-Driven Development) to generate precise system designs, interface documents, implementation plans, and clean code.
- Develop a companion Mobile Application from scratch using Android Studio to interact with your IoT hardware.
- Conduct systematic code reviews, cross-repository testing, and full end-to-end system integration between hardware, mobile, and AI tools.
- and …
Course specifications
Publisher: Udemy
Instructors: Mohamed Abdallah
Language: English
Level: Introductory to Advanced
Number of Lessons: 41
Duration: 5h 33m
Course topics
IoT Embedded System with ESP32 and Mobile App using AI Prerequisites
Basic C Programming Knowledge: Familiarity with functions, pointers, and standard C syntax is required, as the ESP-IDF framework relies heavily on C.
Foundational Hardware Interfacing: A basic understanding of electronic components (like LEDs, Keypads, LCDs, and H-Bridges) and how they connect to a microcontroller.
Hardware Materials: An ESP32 development board, a computer capable of running VS Code and Android Studio, and basic interfacing peripherals (LEDs, keypad, etc.).
No Prior Mobile Experience Needed: We build the mobile app step-by-step from scratch in Android Studio.
No Prior AI Experience Needed: You will learn how to use AI as a co-pilot for development, system design, and code reviews directly within the course.
Pictures
IoT Embedded System with ESP32 and Mobile App using AI introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
3.3 GB