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AI Foundations: How Machines Learn to Think
The flagship course of Sinon Learning's AI mission. Students move from defining intelligence itself to understanding how machines actually learn, then spend the second week stress-testing AI against bias, truth, privacy, and the future of work—closing with a capstone where they write their own AI ethics policy.
2 Weeks · 10 LessonsGrades 9–12
By the end of this course, students can...
Explain how machine learning and neural networks actually work, without code or math
Trace the real history of AI from symbolic logic to generative models
Evaluate AI systems for bias, reliability, and privacy risk using real case studies
Draft an original, defensible AI code of ethics for a real-world context
Your Progress0 of 10 lessons complete
Unit 1 — How AI Actually Works
From the idea of intelligence itself to neural networks and real AI products, students build a working mental model of how machines learn.
Unit 2 — Living With AI: Ethics, Bias, and the Future
Students turn a critical eye on AI—examining bias, misinformation, privacy, and labor—then design their own AI ethics policy as a capstone.