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Module 8 • Interface & Data

Data Layer

Graduate from spreadsheets to real databases and vector stores. Learn Supabase, PostgreSQL basics, and how to implement vector search for AI applications.

Estimated Time: 5-7 days Difficulty: Intermediate Prerequisites: Modules 1-4 (especially Module 4 on Interface Tools)

Databases vs Spreadsheets Understanding

1. When would you choose a real database over Airtable for a project?

2. What is the main advantage of row-level security in databases like Supabase?

3. Which scenario indicates you've outgrown spreadsheets?

4. What does transactional integrity mean in the context of databases?

Answer all questions to submit

Completion Checklist

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Progress Checklist

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Learning Objectives

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Your Learning Path

01No-code

Foundations of a Modern AI Operator

01No-code

Foundations of a Modern AI Operator

02No-code

Operator Mindset

03No-code

Understanding LLMs

04No-code

Security & Ethics

05No-code

AI-Powered Content Creation & Media Systems

06No-code

AI Operator Tool Primer

07Low-code

Core Interface Tools

08Low-code

Data Layer

You are here
09Low-code

Automation Layer

10Low-code

APIs & Webhooks

11Low-code

RAG Systems

12Low-code

AI Agents

13Low-code

Payments & Authentication

14Low-code

Monitoring & Logging

15No-code

Product Building Track

16No-code

Consulting & Business Skills

17No-code

Final Portfolio Requirements

Progress Checklist

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Learning Objectives

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Prerequisites

  • • Module: 01-foundations
  • • Module: 02-operator-mindset
  • • Module: 03-understanding-llms
  • • Module: 04-security-ethics
  • • Module: 05-ai-content-creation
  • • Module: 06-tool-primer
  • • Module: 07-core-interface-tools