Coding with Artificial Intelligence

Service Description

This webinar is for primary and secondary teachers who want to connect AI with coding activities. Are you ready to dive into the world of Artificial Intelligence and Machine Learning? This interactive workshop will give educators a hands-on experience with AI using Python and Scratch. Learn how AI models work, experiment with classification and regression, and explore how neural networks make decisions. What You’ll Learn & Do: ✅ Data representation: How AIs represent data. How data needs to be pre-processed for AI use. ✅ AI vs Traditional Programming – Learn the differences between rule-based programming and machine learning. ✅ Supervised Learning – Train an AI model to classify images and text using real-world datasets. ✅ Classification & Regression – Use Python’s scikit-learn library to build models that categorise and predict outcomes. ✅ Neural Networks Explained – Understand how artificial neurons process information. ✅ Scratch Extensions for AI – Experiment with Scratch 3.0’s Teachable Machine to integrate AI into coding projects. ✅ Practical Python Coding – Use MLPClassifier and MLPRegressor to develop AI models from scratch. ✅ Real AI Applications – See how AI is used in image recognition, sentiment analysis, and predictive modelling. ​ 🔹 Ideally, (but not mandatory) you have taken our AI Primer Express webinar before attending this course. Some basic programming experience is recommended for coding activities.