Discover the perfect journey for your child's heart and mind
2 courses found
In this introductory building stage, students shift from coding with fixed rules to training models with data. They learn the core mechanics of Machine Learning by building their own image, text, and sound recognition systems. Based on the British "Experience AI" framework, this level focuses on the "Data-Model-Action" loop, ensuring students understand how to curate datasets and identify the impact of bias in AI design. By the end, they aren't just consumers of AI; they are builders who understand the architecture behind intelligent reactions to human input.
Level 2 transitions into the engineering behind advanced AI, exploring Decision Trees and the fundamental logic of Neural Networks. Aligned with UK Key computing standards, students learn how to refine model accuracy through iterative training and explore the basics of Natural Language Processing (NLP). The course emphasizes "Algorithmic Accountability," teaching students how to design AI that solves complex, real-world problems ethically and efficiently. They emerge as true innovators, capable of prototyping AI solutions that think, adapt, and predict outcomes with precision.