This workshop will explore the emerging technologies of Machine Learning and Artificial Intelligence (ML and AI). Students will get hands-on with various machine-learning tools and build functional machine-learning models with a Teachable Machine that can recognize everyday objects.
In the Skills Workshop, students will take their learning further by curating their own datasets and developing machine learning models to solve real-world problems. Through guided exploration of open-source platforms like Kaggle, students will investigate current datasets, explore trends, and prototype AI-powered solutions in response to real-world needs.
Workshop objectives and outcomes
- Awareness of Artificial Intelligence and Machine Learning, and how we use them daily.
- Understand how Artificial Intelligence and Machine Learning are used in industry.
- Understand the basic concepts of Artificial Intelligence and Machine Learning.
- Enable a machine to accurately predict and recognize known objects using Google's Teachable Machine.
- Curate and organize datasets through open-source ML communities like Kaggle.*
- Explore how AI and ML can address real-world challenges through inquiry-based design.*
- Collaborate to create and present an AI-based prototype or solution.*
Learning competencies
- I can define “Digital Intelligence.”
- I can define “artificial intelligence and machine learning”.
- I understand where and how Artificial Intelligence and Machine Learning can be applied in daily life and industry.
- I understand the difference between supervised, unsupervised, and reinforcement learning in Machine Learning.
- I can curate a dataset from an open-source ML community to support an AI project.*
- I can collaborate with peers to design a machine learning solution to a real-world problem.*
* These are specific to the Skills Workshops and not covered in other formats.