advanced track · 10 hours
AI Business & Deployment
Pricing, security, compliance, scaling, and the messy real-world stuff that AI engineers ignore at their peril.
Courses in this track
Course 1 · 3h
Pricing AI Products
Token costs are unpredictable. Customers want flat fees. Here's how leading AI companies square the circle.
You'll be able to:
- Build a unit-economics model that survives 10x volume swings
- Choose between seat-based, usage-based, and outcome-based pricing
- Build guardrails so no single customer can accidentally break your margin
Course 2 · 3h
Security & Prompt Injection
If your product takes untrusted input and feeds it to an LLM, you have a security problem. Here's the mental model and the defenses.
You'll be able to:
- Identify which features in your app are vulnerable to prompt injection
- Apply defense-in-depth: input filtering, output filtering, sandboxed tools
- Choose between guardrails libraries (NeMo, LlamaGuard, OpenAI moderation) for your stack
Course 3 · 4h
Scaling & Cost Control
Going from 100 users to 100,000 without your bill going to $50K/month.
You'll be able to:
- Implement semantic + exact-match caching to cut costs 30–80%
- Route requests to the cheapest model that meets the quality bar
- Build queue-and-batch architectures for non-realtime workloads