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AI Tooling Bootcamp

By the end of this course, a student can set up a modern AI toolchain (accounts, keys, budgets, environments, and basic integrations) and ship a small, working demo without leaking secrets or blowing a budget.

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Course Lessons

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1
Course promise
By the end of this course, a student can set up a modern AI toolchain (accounts, keys, budgets, envi
2
Learning outcomes
- Create and manage API keys safely (local .env, Vercel env vars, rotation) - Understand quotas, rat
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Module 1 — The Toolchain
- What “tooling” means in AI work - Accounts, workspaces, and roles - Cost models (tokens, requests,
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Module 2 — Secrets and Safety
- Threat model: the 5 most common ways keys leak - Correct patterns: .env.local, Vercel env vars, se
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Module 3 — Ship a Demo
- Minimal app - One model call - One saved result - One deploy
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Module 4 — Operate Like a Pro
- Logs and monitoring - Basic error tracking (Sentry) - Budget limits and alerts
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Capstone project (free/trial friendly)
AI Demo Launcher - Input: a prompt + a dropdown for provider - Output: response + token/cost estimat