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AI Automation
with n8n, APIs & RAG

Go from prompting to building. Connect AI models to real data, build multi-step automation pipelines, and deploy RAG systems that answer questions over your own documents.

22 modules
~14 hours of content
Starter recommended
Lifetime updates
$349 one-time payment
  • 22 video modules + written guides
  • n8n & Make.com workflow templates
  • RAG chatbot starter project
  • API integration blueprints
  • Lifetime access + all future updates
  • Private community access
Buy Now — $349 Questions? Contact us

What you'll learn

This is where you stop being a user and start being a builder. You'll learn to connect AI models to real-world data through APIs, build automation workflows that run without you, and implement RAG systems that let AI reason over your documents.

By the end you'll have a working RAG chatbot deployed on your own data, plus at least three production-grade automation workflows running 24/7 — things you can show, not just describe.

Who this is for

⚙️

Operators & builders

Automate repetitive workflows that currently take hours of manual work.

🧑‍💻

Developers & PMs

Build and ship AI features faster with a deep understanding of APIs and pipelines.

📈

Growth & RevOps

Connect CRM, email, and analytics into AI-powered pipelines that move automatically.

🏗️

Agency & freelancers

Build AI automation services you can sell to clients — real workflows, real value.

Curriculum — 22 modules

01
Automation architecture fundamentalsTriggers, actions, branches, error handling. How to think in workflows, not steps.
02
n8n deep-dive — setup & core nodesSelf-hosted setup, HTTP requests, webhooks, conditional logic, and sub-workflows.
03
Make.com for non-codersVisual automation with 1,500+ integrations. When to use Make vs n8n.
04
OpenAI API — functions, streaming, batchingDirect API usage, function calling, streaming responses, batch jobs, and cost control.
05
Anthropic API — Claude Opus 4.6Claude's extended context, tool use, and computer use capabilities in production.
06
Embeddings & vector searchHow embeddings work, semantic search, chunking strategies, and similarity thresholds.
07
Pinecone & Supabase pgvectorChoosing and setting up a vector database. Upsert, query, and filter operations.
08
Build a RAG chatbot — Part 1Ingestion pipeline: PDF parsing, chunking, embedding, and storing in Pinecone.PROJECT
09
Build a RAG chatbot — Part 2Retrieval, prompt construction, streaming response, and chat history management.PROJECT
10
Notion integration automationAI-powered Notion workflows: auto-tagging, summarisation, and database enrichment.
11
Gmail & Slack automationAI email triage, auto-replies, Slack digest bots, and meeting summary pipelines.
12
Airtable & CRM enrichmentEnrich leads, score accounts, and write CRM notes automatically with AI.
13–22
Advanced topics & capstone projectError handling at scale, production deployment, monitoring & cost dashboards, plus your capstone: a fully deployed AI automation system of your choice.CAPSTONE

Tools you'll work with

⚡ n8n
🔧 Make.com
🤖 OpenAI API (GPT-5.3)
🔮 Anthropic API (Claude Opus 4.6)
🌲 Pinecone
🗄️ Supabase pgvector
📓 Notion API
💬 Slack API
📧 Gmail API
📋 Airtable