Industry-Specific AI Implementation · Use AI
AI Data Privacy, Ethics & Compliance
Understand what data AI tools send to vendors, GDPR/CCPA basics, how to protect customer PII, and when to use on-premise alternatives.
8 lessons · 253 minutes
Before starting: Comfortable using at least one AI chat tool for everyday business tasks
Start courseWhat you walk away with
- Map where customer data travels across your AI tools in a written data-flow inventory
- Read an AI vendor's data and retention policy and flag the red flags in 10 minutes
- Write a one-page employee AI usage policy naming approved tools and prohibited inputs
- Draft a disclosure statement telling customers when and how AI touches their work
- Apply an incident response playbook that contains a data leak and documents notification steps
- A tested prompt or customer-facing workflow you can run this week. Every artifact saves to your workspace, so you keep it after the course ends.
- A knowledge-check quiz and a visual walkthrough inside every one of the 8 lessons, about 4 hours of guided work.
- Most lessons close with a checklist, template, or do-it-this-week task, so progress shows up in your work, not just in the app.
What Data Goes Where: Mapping Your AI Tool Data Flows
Build a one-page map of which AI tools touch which customer data, where that data lives after the call, and the three questions to ask before adding a new tool to your stack.
GDPR, CCPA & SMB Compliance: What Actually Applies to You
Cut through the regulation noise. Learn which privacy laws actually apply to a small business using AI, what your real obligations are, and what is overblown.
Protecting Customer PII in AI Workflows
Practical patterns for keeping personally identifiable information out of AI prompts when you do not need it there -- and safely passing it when you do.
How to Read an AI Vendor's Data & Retention Policy in 10 Minutes
A repeatable 10-minute checklist for evaluating an AI vendor: who owns your data, how long they keep it, whether they train on it, and where their servers are.
Writing a One-Page Employee AI Usage Policy
A template-driven approach to giving your team clear rules for what they can paste into AI tools, what is off-limits, and how to handle customer data.
When On-Prem or Private LLMs Are Actually Worth It
Most SMBs do not need a private LLM. Learn the three signals that mean you do -- and the realistic cost, complexity, and maintenance picture if you go that route.
Disclosing AI Use to Customers: When and How
When you must tell customers AI is in the loop, when you should anyway as a trust play, and the wording patterns that build credibility instead of suspicion.
AI Data Leak Incident Response Playbook
What to do in the first 24 hours if an employee pastes sensitive data into a public AI tool, a vendor has a breach, or you discover prompts leaking via logs.