What you'll be able to do

✓Audit a client's data against six readiness criteria before any model work starts
✓Name the specific failure mode each criterion takes across text, image, audio, video, and time-series data
✓Distinguish consent to collect data from consent to train a model on it
✓Write a readiness memo that tags each blocker as blocking, fixable, or approach-changing, with named estimates

Turn "we have two years of data" into a specific, defensible readiness verdict before a client commits budget to a project their data can't actually support yet.

⌁ The audit a consultant runs before recommending fine-tuning, RAG, or any approach that depends on a client's own data being usable.

Start this internship

Create an account to unlock the 6 sections, the workbench, and AskThili.

Begin

1. The Data Readiness Audit

🔒 locked

2. "We Want to Fine-Tune on Our Data"

🔒 locked

3. The Readiness Checklist

🔒 locked

4. The Same Checklist, Different Data

🔒 locked

5. Work the Case

🔒 locked

6. The Memo

🔒 locked

The Data Readiness Audit

Sections

Dig deeper

Part of these learning paths