The VR School
Course Catalog
Section G · College-Preparatory Elective

Generative AI - Foundations and Applications

UC A-G approved Generative AI - Foundations and Applications course delivered fully online through immersive VR and AI-enhanced instruction.

1 Year Online · Remote / Hybrid / In-Person Mathematics Grades 9, 10, 11, 12 10 credits

Section GUC A‑G Requirement

College-Preparatory Elective1 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

Semester 1, Unit 1Weeks 1–5

Foundations

  • Core vocabulary and concepts
  • Foundational skills
  • Context-setting activities
Semester 1, Unit 2Weeks 6–12

Core Skills

  • Skill-building exercises
  • Primary assessments
  • Collaborative projects
Semester 2, Unit 1Weeks 13–18

Advanced Concepts

  • Deeper conceptual application
  • Research and analysis
  • Peer-review activities
Semester 2, Unit 2Weeks 19–24

Synthesis & Mastery

  • Cross-unit integration
  • Final capstone project
  • Portfolio submission

Lectures & Reviews

Curated YouTube videos for Generative AI - Foundations and Applications

Hand-picked from credible educators — AP teachers, university lectures, and Khan Academy. Click a thumbnail to play in place; cookies are blocked until you click.

University LectureThe Royal Institution

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata

Open on YouTube
SpecialistIBM Technology

Neural Networks Explained in 5 minutes

Open on YouTube
SpecialistIBM Technology

AI, Machine Learning, Deep Learning and Generative AI Explained

Open on YouTube
SpecialistIBM Technology

Generative vs Agentic AI: Shaping the Future of AI Collaboration

Open on YouTube
SpecialistPBS NewsHour

Why Khan Academy’s founder thinks AI tools can transform education for the better

Open on YouTube
Specialist3Blue1Brown

Large Language Models explained briefly

Open on YouTube

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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