Course Catalog
Section G · College-Preparatory ElectiveUC Honors · +1.0 GPA
Advanced Computer Science with AI Agents
UC A-G approved Advanced Computer Science with AI Agents course delivered fully online through immersive VR and AI-enhanced instruction.
1 Year Online · Remote / Hybrid / In-Person Interdisciplinary Grades 9, 10, 11, 12 10 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.
UC Honors Designation
AP and IB electives earn 1 extra weighted GPA point. Some G electives (Statistics, Computer Science) satisfy UC quantitative reasoning requirements.
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
Apply environmental science principles to real-world sustainability challenges
Analyze ecosystems, biogeochemical cycles, and biodiversity
Evaluate human impacts on climate, land use, water, and energy systems
Design evidence-based environmental solutions using scientific methodology
Interpret data from field studies, remote sensing, and laboratory investigations
Prepare for the AP Environmental Science exam
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
Curated syllabus · 8 units · 78 videos
Advanced Computer Science with AI Agents: study order
Eight units from classical ML to production agentic systems. Spine: Andrej Karpathy + 3Blue1Brown for ML fundamentals; DeepLearning.AI + LangChain official content for agents; Stanford CS25 / CS336 for transformers and LLMs.
Overview
Khan Academy
Khan Academy
Introduction to AI and Machine Learning | YUVA AI for All | MEITYKhan Academy India - English
Also see(2 more picks)
Specialist
Also see(3 more picks)
Specialist
But how do AI images and videos actually work? | Guest video by Welch Labs3Blue1Brown and Welch Labs
Specialist
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)Stanford Online
Free-Response / Exam
Also see(1 more pick)
Overview
Khan Academy
Also see(2 more picks)
Specialist
Also see(3 more picks)
Free-Response / Exam
Also see(1 more pick)
Curated for Advanced Computer Science with AI Agents. Videos open in YouTube's privacy-enhanced (nocookie) embed; cookies are blocked until you click.
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.
More Section G Courses
View allAgile Project Management Principles and Practices - Semester 1
1/2 Year
Agile Project Management Principles and Practices - Semester 2
1/2 Year
AI & Media Literacy
1 Year
AI and Machine Learning
1 Year
AI in Business: A Professional Internship
1 Year
AI in the Economy: The Business and Financial Impacts of Artificial Intelligence
1/2 Year