Overview

This course introduces students to artificial intelligence, mobile app development using MIT App Inventor, and ESP32 programming with MicroPython. Across 25 practical sessions, students learn to connect AI-generated decisions, mobile interfaces, sensors, and physical outputs before designing and presenting a complete integrated project.

By

karam tfaily

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Grade 11 – IOT systems – Instructor

Category:

0
14

Enrollments

Level

All Levels

Time to Complete:

0 hour 0 minute

Lessons:

27

Certificate:

No

One-time for 1 person

$1,000.00$999.00

Overview

This course introduces students to artificial intelligence, mobile app development using MIT App Inventor, and ESP32 programming with MicroPython. Across 25 practical sessions, students learn to connect AI-generated decisions, mobile interfaces, sensors, and physical outputs before designing and presenting a complete integrated project.

What You’ll Learn?

Understand the fundamentals of Internet of Things (IoT) systems and their real-world applications
Learn how electronic components, sensors, actuators, and microcontrollers work together to create smart systems
Explore embedded programming using ESP32 and MicroPython
Learn how to collect, process, and use data from different sensors
Understand communication between devices and connected systems
Design and build IoT solutions that respond to real-world problems
Develop skills in hardware integration, programming, testing, and troubleshooting
Explore automation concepts and smart technology applications
Understand the complete IoT development workflow:
Idea → Design → Build → Program → Connect → Test → Improve
Develop practical engineering skills through hands-on IoT projects and challenges

Requirements

Basic programming concepts are recommended
Basic understanding of electronics concepts is recommended
Access to a computer and IoT development environment
Students should follow the engineering development process:
Define → Design → Build → Program → Test → Improve
Students should document their designs, connections, code, and testing results
Students should apply IoT concepts to create functional smart systems
Previous experience with advanced IoT systems is not required, but curiosity and problem-solving skills are essential

Syllabus Overview

27

Lessons

0

Quizzes

0

Tasks

0

Resources

Phase 1: Business and Ideation

Phase 2: Embedded Systems with ESP32

Phase 4: AI and Algorithms & Mobile Apps

Phase 5: Integration and Capstone Project

Material Includes

ESP32 development board and embedded systems resources
Electronic components and sensor modules
MicroPython programming activities
IoT system design exercises
Hardware connection guides and troubleshooting resources
Sensor and actuator integration activities
Real-world IoT application examples
Project documentation templates
Assessment rubrics and practical evaluation tools

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