Module 1
The AI Operating System
Understand the intelligence revolution from first principles
Lessons
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Founder
Think like a founder: what user pain, distribution channel, pricing, and retention loop does this AI capability unlock?
Systems
Think like a first-principles systems builder: separate demos from durable products, and measure the bottleneck the model actually removes.
Infrastructure
Think like an AI infrastructure leader: account for data, latency, cost, reliability, evaluation, and deployment constraints before scaling.
Objectives
- Understand what AI is and isn't at a fundamental level
- Map the modern AI landscape with confidence
- Install and configure your complete AI stack
- Run your first meaningful AI interaction
Capstone
AI Capability Audit
Systematically evaluate 10 AI tools against 20 real tasks from your work. Produce a ranked comparison report with justified selections.
A personal AI toolkit manifesto with tool selections, use cases, and cost estimates.
Real Examples
- Map ChatGPT, Claude, Gemini, Perplexity, NotebookLM, and local models to different jobs instead of treating them as interchangeable.
- Audit a real business workflow and mark which steps need generation, retrieval, classification, automation, or human judgment.
- Compare cloud model convenience with local/open-source model control for privacy-sensitive work.
Mastery Checks
- Explain the core concept without buzzwords.
- Build a small working artifact, not just a note or prompt.
- Define an evaluation rubric and test against at least five edge cases.
- Estimate operational cost, failure modes, and human review requirements.