AI Coding for Kids L1: Build Face and Hand Detection Games

AI Coding for Kids L1: Build Face and Hand Detection Games

AI Coding for Kids L1: Build Face and Hand Detection Games

This interactive, project-based course introduces young learners to core AI ideas using face and hand detection. Over eight guided sessions, students use block-based coding to create playful, tangible projects—face filter quizzes, chase games, mouth-recognition challenges, hand-controlled ping pong, leaderboard challenges, and a final AI-powered space battle that combines learned skills. Each class follows a consistent routine: a short demo to introduce the AI concept, a step-by-step project walkthrough with live coding, time for creative customization, and a show-and-share segment where students present their work and get feedback. Lessons reinforce problem solving, logic, and design thinking while letting students experiment with detection, timers, collision logic, simple conditionals, and interactive controls like finger pinching and gesture triggers. The course is designed for young coders who enjoy games and hands-on learning. Instructors guide students through every project, encouraging creativity and iterative improvements. By the end, learners will have several finished projects showcasing face and hand detection techniques and a stronger foundation in creative coding and computational thinking.

AI Coding for Kids L1: Build Face and Hand Detection Games

Paid once.

Level
Beginner
Ages
7–12
Duration
55 min
Classes
1 / Week
Weeks
8

Class Experience

Each session begins with a short demo of the AI concept, followed by a guided coding walkthrough. Students customize and test their projects, then share results with the class for feedback. Lessons build progressively across eight meetings, culminating in a final combined project.

Learning Outcomes

  • Understand basic AI concepts using face and hand detection

  • Build interactive projects with block-based coding

  • Apply logic, timers, and collision detection in games

  • Customize projects and present creative ideas to peers

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Meet your Instructor

Joined October, 2026

4.5

40

Reviews

7+

Years

250+

Students

Shreya brings seven years of experience teaching children how to apply artificial intelligence in creative, age-appropriate ways. She focuses on computer vision projects—face, hand and object detection, pose estimation, and fun game mechanics—using block-based tools like Pictoblo…

Reviews

4.6

7 reviews for this class

Ratings are specific to this class, not the teacher's overall profile.

Only reviews with written feedback are shown below.

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Teachable Machine: Weekly AI Projects for Ages 7-12
SS

Sakshi Sharma

5.0(3)

Teachable Machine: Weekly AI Projects for Ages 7-12

Beginner

Level

7–12

Ages

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1 / Week

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Python for Beginners Grades 5-7: Build Games, Chatbots and Computer Vision (24 Classes)
NI

Nisha Iyer

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Beginner

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11–14

Ages

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Teachable Machine: Build Image, Sound & Pose Detection Models
VK

Vivek Kohli

3.9(7)

Teachable Machine: Build Image, Sound & Pose Detection Models

Beginner

Level

7–10

Ages

55 min

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Teachable Machine: Train an Image Classifier (Grades 3-6)
VK

Vivek Kohli

4.3(9)

Teachable Machine: Train an Image Classifier (Grades 3-6)

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8–12

Ages

55 min

Duration

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$10.00per class
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AI Detectives Lab: Train Models and Spot Fake Content (Grades 4-6)
SR

Shreya Reddy

4.6(24)

AI Detectives Lab: Train Models and Spot Fake Content (Grades 4-6)

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11–13

Ages

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AI & Machine Learning Level 3: Chatbots to Face Recognition
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Shreya Reddy

4.4(9)

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Intermediate

Level

9–13

Ages

55 min

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HG

Hemchandra Goswami

4.7(3)

Python for Machine Learning: Models with AICode101 & Colab

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13–18

Ages

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Deep Learning with Python: TensorFlow, Keras & Applications
MK

M. K. Mary

Deep Learning with Python: TensorFlow, Keras & Applications

Intermediate

Level

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Ages

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Duration

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Weeks

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