Data & Integration Basics
AI AutomationModule 02

Data & Integration Basics

APIs, webhooks, and common data formats.

Module Overview

Practical skills for parsing and moving data across systems: JSON/CSV handling, webhook handling, authentication basics, and validation/transform patterns.

Learning Objectives

  • Parse and transform common data formats reliably.
  • Implement a webhook listener and validate incoming payloads.
  • Understand API auth patterns and how to protect credentials.

Lesson-by-Lesson Breakdown

1

JSON and CSV parsing patterns and pitfalls.

2

APIs basics: methods, status codes, and endpoints.

3

Webhook mechanics: receiving, validating, and responding to events.

4

Authentication overview: API keys vs OAuth (conceptual).

5

Data validation and sanitization best practices.

Hands-on Activities & Deliverables

Activities

Build a webhook listener that logs events to a Google Sheet or CSV and validates payloads.

📦 Deliverable

Repo + runbook showing how to test with sample payloads.

Required Tools & Readings

Postman, webhook test services, sample payloads.

Assessment & Rubric

  • Correct parsing/validation50%
  • Secure credential handling25%
  • Documentation & reproducibility25%

Prerequisites

Basic scripting familiarity.

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Parent-Friendly Value

Students can reliably move and validate data between systems — the backbone of real automations.

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