Description
Curriculum
Outcomes
Gallery
Course Description

Welcome to the exciting world of robotics and artificial intelligence with our course on AI Smart Car! In this hands-on, project-based course, you will learn how to design, build, and program a self-balancing robot that uses advanced AI algorithms to stay upright and navigate its environment. This course combines the fundamentals of robotics, machine learning, and control systems, providing you with a solid foundation in these cutting-edge technologies.

Throughout the course, you'll dive into key topics such as sensors, actuators, control loops, and reinforcement learning, using popular tools like Python and Arduino. You'll get the chance to work with gyroscopes, accelerometers, and motors to develop a robot that can balance on two wheels—just like a Segway or a high-tech scooter!

Whether you’re a beginner with a passion for technology or an experienced engineer looking to expand your skills, this course offers valuable insights and practical experience. By the end, you’ll not only understand the theory behind balance control but also have built your own AI-powered robot capable of maintaining stability in real-time.

Frequently Asked Questions

1. Where do we have classes?

3. What is course programming software? How to download?

4. What course packages need to be prepared?

Click this link: https://thestempedia.com/product/pictoblox/download-pictoblox/, choose the appropriate Operating System (Windows, macOS, Linux) and follow the steps to install.

Purchase hardware kits on Amazon,https://www.amazon.com/dp/B0CLDJ2DL7/.

2. What computer equipment is required for the course?

PictoBlox software supports devices such as Windows, macOS, Linux, Android, iOS, Chromebook, etc.

The teaching mode of this course is online, and Zoom needs to be downloaded in advance before class.
Course Content
Lesson 1 Lesson 2 Lesson 3 Lesson 4 Lesson 5 Lesson 6 Lesson 7 Lesson 8 Lesson 9 Lesson 10
Car Assembly
QR Code Recognition
Color Line Following
Color Following
Number Recognition
Radar Obstacle Avoidance
Radar Guard
Radar Patrolling (Straight-Line Travel)
Radar Patrolling (Multi-Wall Travel)
License Plate Following
60 min 60 min 60 min 60 min 60 min 60 min 60 min 60 min 60 min 60 min
Learning Outcomes

C Language-based coding for Arduino kit

Understand circuit fundamentals knowledge

Cultivate scientific and technological innovation consciousness

Improve problem-solving abilities

Enhance spatial cognition and planning ability

01
02
03
04
05
Hardware: IoT Smart Kit
Level: Advanced
Age: 12-16 years old
Language: C/C++
Duration: 10 classes, 60 mins/class
Format: Instructor-led Online Classes
Class Size: 8-10 students
Course Features
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Class Schedule
Class A:
       
Starts 10/12-12/14
Sat 7:00-8:00 PM EST
248-890-8886
info@eonstem.com
2800 Centerpoint Pkwy
Pontiac, MI 48341, USA
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