Course Catalog
Section G · College-Preparatory Elective
Artificial Intelligence and Machine Learning Fundamentals - Semester 1
UC A-G approved Artificial Intelligence and Machine Learning Fundamentals - Semester 1 course delivered fully online through immersive VR and AI-enhanced instruction.
1/2 Year Online · Remote / Hybrid / In-Person Mathematics - Computer Science Grades 9, 10, 11, 12 5 credits
Section GUC A‑G Requirement
College-Preparatory Elective — 1 year required
Must be chosen from additional courses in categories A–F (beyond the minimum requirements) OR from other UC-approved college-preparatory electives, including computer science, business, statistics, and interdisciplinary STEM courses.
Why This Matters for College Admission
G electives are where students develop depth and signal academic passion. AI, cybersecurity, data science, and entrepreneurship courses are highly competitive differentiators for tech-oriented admissions profiles.
What You'll Learn
Develop computational thinking skills: decomposition, abstraction, and algorithms
Write, debug, and document code in industry-relevant programming languages
Understand data structures, sorting algorithms, and complexity analysis
Apply mathematics (discrete math, statistics, or calculus) to computing problems
Build working software projects with version control and collaborative workflows
Explore career pathways in software engineering, data science, and AI/ML
Course Structure
Unit 1Weeks 1–4
Foundations & Context
- Core vocabulary and concepts
- Skill baseline assessment
Unit 2Weeks 5–9
Core Content
- Primary content delivery
- Applied practice activities
Unit 3Weeks 10–14
Application & Synthesis
- Real-world application
- Final project or exam prep
Prerequisites & Requirements
Open to qualifying students in grades 9, 10, 11, 12; no prerequisites required
All students complete a placement conversation with our admissions team before enrollment is confirmed. Questions? Contact admissions.
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