Breya Academy

Curriculum overview

Courses students actually finish.

A modern catalogue: AP Computer Science Principles and AP Computer Science A, plus student-friendly pathways in web dev, product design, engineering, prompt engineering, computer studies, medical foundations, entrepreneurship, and finance.

Track

Web Development

Semester course: HTML → CSS → JavaScript → mobile apps

Student-Friendly Tools Included
  • HTML foundations
  • CSS styling + responsive layout
  • JavaScript interactivity
  • User flows + wireframes
  • Canva assets + UI consistency
  • Glide no-code MVP
  • Google AI tools (student-safe)
  • ·Build real webpages (HTML/CSS) and add interactivity (JS)
  • ·Prototype screens and test your flow with classmates
  • ·Ship an MVP using Glide + a spreadsheet database
Open first lesson
Track

Product Design

UX/UI flows → wireframes → prototypes → testing

Design Like a Product Team
  • UX/UI fundamentals
  • User flows + wireframes
  • Clickable prototype
  • Usability testing
  • ·Turn a messy idea into a clear user journey
  • ·Build wireframes that communicate structure fast
  • ·Test with 2 people and fix the top confusion points
Open first lesson
Track

Engineering

Design process → systems thinking → prototyping

Build + Test + Iterate
  • Engineering design process
  • Systems thinking maps
  • Prototyping levels
  • Testing metrics
  • ·Define problems with constraints and measurable goals
  • ·Model real systems with inputs, outputs, and feedback
  • ·Prototype quickly and test fairly with metrics
Open first lesson
Track

Computer Studies

Semester course: Python → big ideas → assistive tech build

Project-based semester pathway
  • Python text adventure game
  • Tech innovations research presentation
  • Empathy engineering assistive tech
  • 3D printing + Python pairing
  • ·Learn Python by building a playable interactive story
  • ·Research a “big idea” in tech and teach it clearly
  • ·Design assistive technology for a real accessibility challenge
Open first lesson
Track

Medical

Anatomy foundations → study skills → careers

Student-Friendly Health Foundations
  • Anatomy & physiology map
  • Study system (active recall)
  • Career pathways
  • Ethics + responsibility
  • ·Build mental models of how body systems work together
  • ·Learn evidence-based study methods (no rote memorization)
  • ·Explore pathways and safe ways to build experience
Open first lesson
Track

Entrepreneurship

Full-year course: projects + pitching

Build a real project
  • ·Ship team projects from early idea through real-world feedback
  • ·Learn from industry experts
  • ·Practice designing, refining, and pitching what you build
Open first lesson
Track

Finance

Budgeting → credit basics → investing

Money skills for students
  • Money & finance mental model
  • Cashflow + budgets
  • Long-term investing basics
  • ·Understand interest, inflation, and risk
  • ·Build a simple budget you can follow
  • ·Learn the basics of diversified investing
Open first lesson
Track

AP Computer Science Principles

Big Ideas + networks + impact + Create Performance Task prep

Through-course + CPT aligned
  • Creative development & collaboration
  • Data representation & databases
  • Algorithms & programming (Python/JS lens)
  • Systems, networks, & cryptography basics
  • Impact of computing & ML in society
  • Create Performance Task sprint
  • ·Learn the five Big Ideas with applied readings and discussions
  • ·Connect data, algorithms, and the internet to real systems
  • ·Finish with a structured Create task checklist (program + video + write-up)
Open first lesson
Track

Prompt Engineering

LLM foundations → core techniques → tools & RAG → reliability for production

AI literacy elective — pairs with any track
  • How LLMs work & sampling controls
  • Zero-shot, few-shot, chain-of-thought
  • Structured outputs & function calling
  • Tool use, agent loops, and RAG
  • Multimodal prompting
  • Evals, guardrails, and prompt injection
  • ·Learn how prompt design changes model behaviour in measurable ways
  • ·Build agentic flows with tools, retrieval, and evals
  • ·Ship reliable AI features that survive contact with real users
Open first lesson
Track

AP Computer Science A

4 units → weekly checkpoints → exam review

31-Week Cohort Pacing Included
  • Unit 1: Using Objects & Methods
  • Unit 2: Selection & Iteration
  • Unit 3: Class Creation
  • Unit 4: Data Collections
  • ·Interactive Java labs with instant feedback
  • ·AP-style MCQ sets (timed) + exam strategy
  • ·FRQ-style practice built into the flow
Open first lesson

Partner and External Courses

Curated courses from trusted providers

These courses are hosted externally. They open in a new tab so you can learn from the best resources available, without leaving your learning journey.

ExternalAnthropicFree

Prompt Engineering with Claude

Self-paced · beginner

Master prompt design for Claude - zero-shot, few-shot, chain-of-thought, tool use, and reliable production patterns. The same techniques used by AI engineers at leading companies.

AIPrompt EngineeringClaudeLLMs
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