AI
AI Foundation
AI Foundation builds a clear understanding of how modern AI works and how it affects real decisions. Learners begin with what AI is and where it appears in everyday systems, then learn how machine learning uses training data and trial and error to make predictions. The course explains how neural networks learn through weights and layers, how computer vision interprets pixels to recognize objects, and how large language models generate text using probability based next token prediction and context. The course ends with AI ethics, focusing on trust pillars and responsible use so learners can state one risk and one safeguard using a concrete example.
4.717,471 students19 lessonsCertificate
About this course
AI Foundation builds a clear understanding of how modern AI works and how it affects real decisions. Learners begin with what AI is and where it appears in everyday systems, then learn how machine learning uses training data and trial and error to make predictions. The course explains how neural networks learn through weights and layers, how computer vision interprets pixels to recognize objects, and how large language models generate text using probability based next token prediction and context. The course ends with AI ethics, focusing on trust pillars and responsible use so learners can state one risk and one safeguard using a concrete example.
Course content
5 modules·19 lessons- Welcome5 minutes
- AI Definition8 minutes
- Lesson Recap5 minutes
- AI Definition Assessment7 minutes