Ai Data course
🤖 Advanced Computer Science, AI & Data
Move beyond coding foundations into algorithms, data evidence, features, efficiency, decomposition, logic, simulations, databases, networks, cybersecurity, AI, machine learning, training data, prompting, computer vision, recommendations, automation, privacy, responsible AI design, and a capstone project.
Complete lesson syllabus
Every lesson below contains age-banded facts and quiz questions. Some lessons also include a make-or-explain artifact prompt. Titles are shown in their current course order.
- Algorithms Beyond Recipes
- Data as Evidence
- Patterns & Features
- Sorting, Searching & Efficiency
- Decomposition at Scale
- Logic, Conditions & Rules
- Simulations & Models
- Databases & Queries
- Networks & APIs
- Cybersecurity Basics
- What Is AI?
- Machine Learning Ideas
- Training Data & Bias
- Prompts, Outputs & Verification
- Computer Vision & Sensors
- Recommendation Systems
- Automation & Agents
- Privacy, Consent & Data Rights
- Responsible AI Design
- AI/Data Project Capstone
How age adaptation works
The lesson record contains separate fact sets and quiz questions for Pre-K, kindergarten, early elementary, and upper elementary. This is not the same paragraph with a smaller font: vocabulary, detail, and question demands can change by age band. Parents can still choose a different level if their child needs it.
Assessment and records
Course quizzes provide immediate practice feedback. Completion and progress can feed parent-managed records, but a quiz score is not a teacher-issued grade, independent diagnosis, or accredited course credit.
Related courses
Browse all 57 courses · See 16 sample lessons · Read the learning-quality standard