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L211 - Journey into AI and ML

A beginner-friendly AI/ML course with hands-on training in real-world applications for kids 7-9.

A dynamic, beginner-friendly AI/ML course that blends hands-on training in object detection, voice recognition, decision trees, and supervised to reinforcement learning into fun, real-world scenarios.

Student coding an AI project using Lyza Education's CodeLab platform

Course Features

Age‑Appropriate, Project‑Based Coding Classes

We offer structured, age-tiered programmes with tailored content suitable for various age groups.

Tech-driven Teaching Team

Founded by Lizhang, an Imperial College London alumnus and seasoned Senior Software Engineer with more than 5 years at top tech firms like Meta and Amazon, Lyza Education brings industry-grade expertise directly into the classroom, with our teachers hailing from prestigious institutions across Singapore, UK and Australia.

Comprehensive Learning Tracking

Lyza's cloud‑based platform documents all student progress, from lesson feedback and certificates to project portfolios, ideal for tracking tech skills and supporting DSA applications.

Course Structure

A student trying out Image Recognition
    • What is Artificial Intelligence & Machine Learning

    • Object Detection: Concepts & Examples

    • Voice Recognition Basic

    • Various types of Machine Learning (Supervised, Unsupervised, Reinforced)​

    • Labels​

    • Data

    • Learning how computers make decisions​

    • Creating decision trees

    • Project Planning​

    • Writing Decision Tree Logic in Pseudocode/Flowchart

    • Project Development

    • Project Presentation

Course Edge

Hands-On, Real-World Application Through Projects

Students gain experience in object detection, voice recognition, decision trees, and other AI use cases like scenarios with Kebbi (at the zoo, on the road). This hands-on approach bridges theory and practice, reinforcing concepts through meaningful projects.

Engaging and Learner-Friendly Format

We understand that AI and ML concepts are actually very advanced, but we aim to simplify them by teaching them the concepts of how to make use of AI packages to create their own projects, with elements like a pronunciation test and engaging, real-life narrative scenarios. The flexible structure, allowing students to explore voice recognition, supervised/unsupervised learning, and decision tree logic at their own pace, makes AI approachable and manageable.

Small Class Size & Structured Curriculum for Continuity

With a 1:6 teacher‑student ratio, across a structured five‑lesson course, children get personalised support and a clear pathway to progress in coding, game development, AI and IoT.

Start your child's coding journey!

Lyza Education Trial Class

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Child's Information

Number of children

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