Academy Course Catalog

Build the systems judgment that AI-assisted coding cannot replace.

Brilliance AI Systems Academy is built for working developers who already ship software and now need deeper AI architecture competence. Each course is organized around a real system, practical evidence, and written teach-back.

Build

Production-minded systems

Courses move from concepts to working architecture, not disconnected demos.

Prove

Evidence over attendance

Mastery means evaluated labs, teach-back answers, architecture memos, and capstone proof.

Improve

Open-source curriculum

Developers can improve lessons, report gaps, and help the course mature through issues and pull requests.

Current Course

The Academy starts with one flagship course. More courses belong here only after they meet the same standard: real build work, rigorous evaluation, and a clear path to professional judgment.

⚛️

Project Nautilus: AI Systems Architecture

Flagship Course

Build The Nuclear Reference Vault

Go from AI-assisted developer to AI systems architect by building a complete RAG, agent, and MCP-powered knowledge system from scratch. The Nuclear Reference Vault is the capstone system; the durable skill is architecture judgment.

16
Modules
72
Core lessons
4
Appendices
50
Estimated hours

What you will prove

  • ✓ Build a working document Q&A system that runs locally
  • ✓ Choose the right AI architecture for a real business problem
  • ✓ Master AI APIs from OpenAI, Anthropic, Google, and open-source alternatives
  • ✓ Understand embeddings, vector search, and hybrid retrieval
intermediate difficulty For working developers Capstone-based mastery

Course Standard

Every course must earn its place.

The catalog will grow carefully. New courses should make a developer more useful to clients and teams, not just more familiar with AI vocabulary.

• Clear TGOs before each module
• Hands-on system building
• Nuanced written teach-back
• Evaluation before confidence
• Security and privacy by design
• Portfolio-grade proof of mastery