At Codingal, students in Grades 3–8 learn to build and train real AI models using Google’s Teachable Machine, a fun and intuitive platform for teaching computers to recognize images, sounds, and poses. Integrated across multiple AI and Scratch-based courses, students use these trained models to create interactive games, smart characters, and real-world simulations in Scratch using the MIT Raise Playground. Every lesson encourages hands-on learning, creative problem-solving, and a deeper understanding of how AI works in everyday life.
Modules, Lessons, 40+ Activities & Projects, Quizzes
Students
Countries
4.6 / 5 stars
This course includes:
Choose from group or 1-on-1 personalized AI & coding lessons
Learn live with expert Computer Science teachers
Teachable Machine is seamlessly integrated into the curriculum, providing hands-on AI & coding experience
Engage in 40+ activities & projects designed to enhance practical skills
Students earn STEM.org accredited certificates, recognizing their achievements
Enjoy lifetime access to Code.org course content for continuous learning
Get unlimited 1:1 live doubt sessions with instructors for personalized support
Receive monthly progress reports to track your child's growth and performance
Lifetime access to Teachable Machine course content
At Codingal, students explore Google’s Teachable Machine to understand the fundamentals of Artificial Intelligence in a fun, hands-on way. Tailored for Grades 3–8, Teachable Machine allows kids to train real AI models by teaching computers to recognize images, sounds, gestures, and poses using simple examples and no coding. Students then use the MIT Raise Playground to connect these models to Scratch, creating interactive games, smart characters, and AI-powered experiences. It’s an intuitive and beginner-friendly tool that helps kids understand how machines learn, while building creativity, problem-solving skills, and real-world AI knowledge.
Training AI models using Google’s Teachable Machine
Recognizing images, sounds, gestures, and poses
Integrating trained models into Scratch via MIT Raise Playground
Building interactive AI games and smart applications
Understanding basic AI concepts: classification, input/output, model confidence
Applying machine learning in creative, real-world scenarios
AI and machine learning fundamentals
Hands-on experience with image, sound, and pose recognition
Integrating AI models using MIT Raise Playground
Real-world application of coding and AI concepts
At Codingal, students in Grades 3–8 dive into Artificial Intelligence by training real machine learning models using Google’s Teachable Machine and integrating them into interactive projects with Scratch via MIT Raise Playground. From guiding spy agents with voice commands and recognizing countries through gestures to building fruit recognition games and applying face filters, students create smart, responsive characters using AI. They explore concepts like image and sound classification, face sensing, supervised learning, and emotional response modeling, all in a playful, hands-on format. Every activity reinforces creative thinking, problem-solving, and real-world AI applications, laying a strong foundation for future tech learning.
At Codingal, AI isn’t just explained; it’s experienced. Each trial class immerses your child in hands-on learning using Teachable Machine and Scratch, where they train real AI models and build interactive projects. It’s the perfect blend of fun and future-ready tech skills.
Discover AI magic by creating personalized poems based on name! Simply type a name into the AI-powered coding environment and watch ChatGPT generate a unique, creative poem instantly.
Learners will create a fun translator activity in Scratch that converts text from one language to another and reads it aloud using text-to-speech
Our instructors bring deep expertise in Computer Science and complete rigorous training before they teach; reflected in our exceptional Net Promoter Score (NPS) of 86. Students and parents consistently rate our teachers 4.9 out of 5, and our curriculum earns a 4.8 out of 5. We’re proud to have a faculty that’s 91% female and 9% male, creating an inclusive, encouraging learning environment. Each tutor is trained to understand individual student needs and deliver personalized support; even in group settings. Plus, students have 24/7 access to expert tutors for instant doubt resolution, anytime they need help.
🎓 500+
Computer Science instructors👨💻 7+
Years coding experience👩 91%
Female teachers💻 10+
Coding languagesAt Codingal, we create the ideal environment for kids to explore Artificial Intelligence with Teachable Machine and Scratch. Our curriculum blends real-world AI tools, creative projects, and interactive learning, making complex concepts simple, engaging, and fun for young minds.
At Codingal, your child explores Artificial Intelligence through a STEM.org–accredited program designed around trusted educational frameworks like Bloom’s Taxonomy, BIDE, and STEAM. Our curriculum aligns with the K–12 Computer Science Framework and supports key skills in logic, creativity, and problem-solving. Through interactive, project-based learning, students train real AI models using Teachable Machine and build engaging experiences in Scratch! From gesture-based games to image recognition tools. Every project blends computer science with real-world thinking, helping kids apply AI in fun, meaningful ways. Backed by STEM.org’s rigorous standards, this course builds a strong, future-ready foundation in STEM and rewards learners with a recognized Certificate of Completion.
In Codingal’s AI Creativity track with Teachable Machine and Scratch, students in Grades 3–8 train real machine learning models and apply them in interactive projects using Scratch and MIT Raise Playground. They progress through modules covering image recognition, sound classification, gesture detection, and face tracking; learning how AI understands and responds to the world. Upon successful completion, students earn the STEM.org–certified AI Creativity Certificate; a valuable credential for academic portfolios, presentations, and future learning opportunities. With practical AI experience and a recognized certificate, learners build real-world skills, creative confidence, and a strong foundation for tomorrow’s tech-driven careers.
Our AI + Scratch classes are perfect for elementary and middle school students. At Codingal, our Teachable Machine + Scratch curriculum introduces students in Grades 3–8 to the exciting world of Artificial Intelligence through age-appropriate, hands-on learning. We start with simple activities like image and sound recognition using Teachable Machine, then integrate those models into Scratch to build interactive games and smart characters. As students advance, they explore real AI concepts like classification, gesture control, and face tracking; developing logical thinking, creativity, and tech fluency along the way. Each project builds confidence and curiosity, empowering students to understand and apply AI in the world around them.
Codingal has secured substantial backing from renowned investment firms and a host of prominent angel investors.
Create AI Games and Apps
Build Chatbots and AI Models
Train AI to Recognize and Respond
Master AI Concepts Through Projects
Build apps, games, and websites
Master AI and coding skills
Engage in project-based learning
Earn an AI & Coding Grandmaster certificate, accredited by STEM.org
Learn to code like a pro
Create amazing apps and games
Earn an AI & Coding Prodigy certificate (STEM.org Accredited)
Master problem-solving skills
Teachable Machine is a beginner-friendly tool that helps kids explore Artificial Intelligence (AI) in an engaging, hands-on way. Using this platform, kids can train AI models with images, sounds, or gestures, making it easier for them to understand how AI works through simple, interactive projects. It‘s a fun introduction to machine learning for kids with no coding experience required.
Kids can learn AI through guided practice using Teachable Machine. By training AI models and integrating them with other platforms like Scratch, students can work on exciting Teachable Machine projects that demonstrate how AI recognizes patterns and makes decisions. The process is broken down into simple steps, ensuring that learning AI is both fun and understandable for children.
Yes, there are many online classes available for kids to learn Teachable Machine. These courses offer interactive tutorials where students can train AI models and create their own projects. Whether working on gesture-controlled games or voice-activated actions, kids can learn at their own pace while engaging with real-world AI examples.
Not at all! Teachable Machine makes learning AI easy for kids. The platform‘s visual interface allows students to train AI models without writing code. It‘s a perfect introduction to AI learning, with no prior coding experience necessary. By engaging in simple Teachable Machine projects, kids can understand the core concepts of AI and machine learning through fun, interactive activities.
Kids can create a variety of exciting projects using Teachable Machine and Scratch. These projects include gesture-controlled games, voice-activated actions, and image recognition models. Through these Teachable Machine projects, kids learn to use AI to solve real-world problems, bringing their creative ideas to life in a fun and educational way.
Teachable Machine is ideal for kids aged 8 to 13, typically in Grades 3-8. The course is designed to be age-appropriate and beginner-friendly, introducing kids to AI concepts and machine learning in a fun and creative way. No previous coding experience is required, making it accessible for younger students.
To use Teachable Machine, all your child needs is a computer or tablet with an internet connection and a web browser. There‘s no need for special software downloads, and everything runs in the cloud. This makes it easy for kids to jump into learning AI anytime, anywhere, using the Teachable Machine app or website.
Teachable Machine introduces kids to AI by allowing them to train machine learning models with simple, visual tools. Kids can work with images, sounds, and gestures to create interactive AI projects, helping them understand the basic principles of machine learning in a fun and engaging way.
Absolutely! Teachable Machine is an ideal tool for beginners in AI. Its drag-and-drop interface allows children to easily create AI models without needing to know complex programming languages. The step-by-step guidance helps students grasp the basics of machine learning in a visual and intuitive manner.
Teachable Machine can be easily integrated with Scratch, enabling kids to use their trained AI models in Scratch projects. This integration allows students to bring their AI creations, such as gesture-controlled games or image recognition models, to life in a fun, interactive way by using Scratch’s visual coding environment.
Some great Teachable Machine examples for kids include:
These examples help children see the potential of AI and machine learning in a fun, creative environment.