AI & Machine Learning Level 3: Chatbots to Face Recognition

This Level 3 AI course deepens students' understanding of machine learning and real-world AI applications through guided, project-based lessons. Over eight sessions, learners use tools such as Pictoblox and Teachable Machine to build working AI projects that demonstrate NLP, voice control, image recognition, and interactive games. Projects include an AI-powered food-ordering app, a café feedback assistant, a Rock-Paper-Scissors model, a smart music player, a voice-controlled chatbot, a superhero face-recognition unlocking system, and a Flappy Bird game controlled by face detection. Each class pairs a short concept discussion with step-by-step, hands-on development so students apply ideas as they learn. Instruction emphasizes experimentation, iterative model training, debugging, and refining user interactions. Learners practice designing datasets, training models for images and audio, integrating models into apps and games, and testing behavior. The course also introduces ethical considerations and responsible use of AI to help students think about real-world impact. Students receive live guidance, real-time feedback during coding and model training, and opportunities for small-group discussion and collaborative problem solving. Intended for learners in grades 3–6 (roughly ages 9–13), this course expands practical AI skills without assuming prior machine-learning experience.