AI Pipelines and Data Orchestration
Building end-to-end flows. Learning how to receive data via Webhooks, process information using language models, format output in JSON, and persist results in databases, all in a visual and structured manner.
3 - 6 Hours 4 Modules
Main Theme: AI for Developers
Workload: 3 - 6 Hours
Level: Intermediate
Target Audience: Developers, Data Engineers, and Operations Analysts
Building end-to-end flows. Learning how to receive data via Webhooks, process information using language models, format output in JSON, and persist results in databases, all in a visual and structured manner.
Using the new n8n Agent nodes to create functional assistants on the server. The students will learn to set up "tools" for the agent, allowing it to execute logical tasks and make decisions based on external data natively.
Configuring fail-proof automations. How to implement wait nodes to avoid rate limits, set up automatic retries, and create alert flows to notify the team instantly if a critical step fails.
Implementation exercise of a complete pipeline: the challenge consists of creating a system that extracts data, scrapes websites to find emails using Regex, filters duplicates, and exports the final organized list to Google Sheets automatically.
Lead generation system - Google Maps data extractor to email, with export to Google Sheets.
This workflow builds a completely free email extraction system from Google Maps, able to collect an unlimited number of business emails without expensive third-party APIs. Built entirely in n8n, using simple HTTP requests and JavaScript, it can generate thousands of qualified leads for any sector or location, running on a cost structure that is 99% free.
Note: Replace the search URL with your target location and the type of business you want.
Result: A clean list of real company websites, ready for email extraction.
Critical: Batching and delays are essential for reliable operation at scale.
Result: An organized database of business emails ready for outreach.