AI Technology Honors

Course Description

Multidisciplinary honors course (for STEM and non-STEM students) on how computers, coding, and generative AI work. Students explore core AI concepts, basic programming, emerging tools (e.g., LLMs and image generators), and read accessible articles to build a critical understanding of AI’s capabilities and limits. A final project showcases applied learning.

Credits 5 (one semester)
UC A–G Area G — College-Preparatory Elective (confirm on UCOP A–G list)
Level & GPA Weight Honors (weighted; confirm UCOP/district policy)
Recommended Grades G9–12
Prerequisites None (prior coding helpful but not required)
Textbook / Readings Curated articles and instructor-provided resources

Major Units & Topics

  • Computing & AI foundations
  • Generative AI (LLMs, image models): concepts & use cases
  • Basic programming & AI-assisted workflows
  • Prompt design, evaluation, and limitations
  • Ethics, bias, privacy, and responsible use
  • Capstone: applied or research-style project

Practical Work

  • Guided experiments with AI tools
  • Short reflections and position pieces on current topics
  • Capstone project presentation

Technology & Platforms

  • Optional Python notebooks; web-based AI tools
  • Documented workflows & reproducible artifacts

Delivery Options

Model What’s Included Live Hours
Mini-One-on-One Seminar coaching, artifact reviews, capstone guidance Typically 12 hours (at $119/hour)
One-on-One Personalized instruction & capstone mentorship Typically 22 hours (at $119/hour)

For current tuition, see the pricing section or contact our team.

Time & Workload Expectations

  • Total live session hours: ~22 hours (One-on-one); ~12 hours (Mini-one-on-one).
  • Pre-study for Mini-one-on-one: plan an additional ~12 hours of structured pre-study.
  • Independent work: ~25–30 hours (readings, reflections, project work, assessments).
  • Communication: Q&A and periodic progress updates via email (all models).
  • Weekly load example: (22 live + 38 independent) ÷ 12 weeks ≈ 5 hrs/week

Grading & Course Policies

Category Weight
Classwork 10%
Tests/Quizzes 20%
Homework 30%
Project 20%
Final Test 20%

Additional Notes

  • Pacing Guide: Personalized plan based on start/end dates and seasonal schedules.
  • Accessibility: Reasonable accommodations available; notify counselor/instructor during onboarding.
  • Parent Updates: Progress check-ins available upon request (per FERPA/guardian permissions).

Track Eligibility (Academic Track & AI Certification)

  • Full-Time (≥5 courses/year): counts toward certifications.
  • Dual Enrollment (LCP school of record) (≥3 courses/year): counts toward certifications.
  • Dual Enrollment (other school of record) (≥6 LCP courses across high school with counselor-approved plan): counts toward certifications.
  • Part-Time à-la-carte: does not count toward certifications.