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Coming Soon · 2027

AI Automation

Learn automation with n8n and Zapier by building real AI-powered workflows that connect your tools, APIs, and data so repetitive tasks run 24/7 without manual work.

3 Months
Program Duration
Sundays
Live Sessions Only
3 hrs
Per Session
6
Hands-on Projects

What this course is about

AI Automation bridges the gap between powerful AI models and the everyday tools your business already uses. You will progress from automation foundations to production-ready workflows built on n8n and Zapier.

Connect everything

Integrate AI models (OpenAI, Claude, Gemini) with CRMs, email, databases, Slack, Google Sheets, and hundreds of other apps.

Build AI agents

Design multi-step agentic workflows that reason, retrieve information, and take actions autonomously.

Ship to production

Handle errors, scale with webhooks, schedule runs, monitor performance, and deploy workflows your team actually relies on.

Who this course is for

This is for you if

  • You have a basic Python or technical background
  • You want to automate repetitive tasks at work
  • You are a freelancer, solopreneur, or small business owner
  • You want to offer AI automation as a service
  • You are curious about agentic AI beyond just ChatGPT prompting

This is not for you if

  • You need deep ML model training (see our AI Engineering course)
  • You are looking for a pure coding course
  • You expect results without doing the exercises

What you will build

Every module ends with a practical workflow project. By the end, you will have shipped six portfolio-ready automations.

Module 1 Project

Smart Email Triage Bot

Auto-classify incoming emails by urgency and topic using an LLM, then route them to the right folder or person in Gmail.

ZapierGmailOpenAI
Module 2 Project

Lead Enrichment Pipeline

When a new contact enters your CRM, automatically research them online, summarize findings, and update their record.

n8nHubSpotWeb Search
Module 3 Project

AI Content Repurposing Engine

Feed a blog post URL and automatically generate Twitter threads, LinkedIn posts, and newsletter snippets.

n8nZapierClaude API
Module 4 Project

RAG Customer Support Agent

Build a support bot that answers questions from your own knowledge base using retrieval-augmented generation.

n8nPineconeOpenAI Embeddings
Module 5 Project

Automated Reporting Dashboard

Pull data from multiple sources on a schedule, have AI write the narrative, and deliver a Slack report every Monday.

n8nGoogle SheetsSlack
Module 6 Capstone

Multi-Agent Business Workflow

Design and deploy a full multi-step agentic pipeline with memory, decision branches, and human-in-the-loop approval steps.

n8nAgentic AIWebhooks

Course curriculum

6 modules, 30+ lessons, beginner-to-advanced progression.

Module 1

Foundations of AI Automation

Understand what automation is, why AI changes everything, and get both tools installed and configured.

~3 hoursn8n + ZapierBeginner
  • What is AI automation? Use cases and mental models
  • n8n vs Zapier: when to use which (and why not either)
  • Setting up your n8n instance (cloud + self-hosted)
  • Your first Zapier Zap in 10 minutes
  • Connecting your first AI model (OpenAI / Claude)
  • Understanding triggers, actions, and data flow
  • Project: Smart Email Triage Bot
Module 2

Working with APIs & External Data

Learn to pull data from any API, transform it with AI, and push it where it needs to go.

~4 hoursn8nBeginner-Intermediate
  • HTTP requests in n8n: GET, POST, headers, auth
  • Parsing and transforming JSON data
  • Using expressions and JavaScript in n8n nodes
  • Webhook triggers: receiving data from external systems
  • Connecting CRMs: HubSpot, Notion, Airtable
  • Error handling: try/catch, fallback branches
  • Project: Lead Enrichment Pipeline
Module 3

Prompt Engineering for Automation

Design prompts that produce reliable, structured outputs you can feed into the next step of your workflow.

~3 hoursn8n + ZapierIntermediate
  • Prompting for structured JSON outputs
  • System prompts, roles, and few-shot examples
  • Chaining prompts: using one output as the next input
  • Handling hallucinations and validation in workflows
  • Model selection: GPT-4o vs Claude vs Gemini for automation
  • Cost optimization: batching, caching, model routing
  • Project: AI Content Repurposing Engine
Module 4

RAG & Knowledge-Powered Workflows

Give your automations long-term memory and the ability to answer questions from your own data.

~5 hoursn8nIntermediate
  • How RAG works: embeddings, vector stores, retrieval
  • Chunking and embedding documents in n8n
  • Setting up Pinecone / Qdrant as a vector store
  • Building a retrieval node: semantic search in workflows
  • Grounding LLM answers in retrieved context
  • Keeping your knowledge base fresh: ingestion pipelines
  • Project: RAG Customer Support Agent
Module 5

Scheduling, Monitoring & Production Workflows

Move from one-off experiments to reliable, observable automations your business can depend on.

~4 hoursn8n + ZapierIntermediate-Advanced
  • Cron schedules and time-based triggers
  • Idempotency: safely re-running workflows
  • Logging runs and debugging failures
  • Alerting: Slack / email notifications on error
  • Rate limits, retries, and exponential backoff
  • Version control for workflows: exporting and diffing
  • Project: Automated Weekly Reporting Dashboard
Module 6 - Capstone

Building Multi-Agent AI Workflows

Combine everything to build autonomous, multi-step AI agents with memory, tool use, and human oversight.

~6 hoursn8nAdvanced
  • What are AI agents? ReAct, plan-and-execute patterns
  • n8n's AI agent node: tools, memory, and iteration
  • Giving agents tools: web search, code execution, file I/O
  • Human-in-the-loop: approval gates and pause/resume
  • Multi-agent coordination: passing context between agents
  • Security, rate limits, and cost controls for agents
  • Deploying agents: webhooks, chat UIs, Slack bots
  • Capstone project: Multi-Agent Business Workflow

Tools and stack you will use

n8n

n8n

Open-source, self-hostable workflow automation. More powerful for technical users, with native code nodes and a growing AI ecosystem.

Self-hostedOpen sourceCode nodes
Z

Zapier

The industry standard for no-code automation. Fastest way to connect 7,000+ apps with minimal setup, ideal for non-developers.

CloudNo-code7000+ apps
AI

AI Models

Use OpenAI GPT-4o, Anthropic Claude, and Google Gemini throughout the course, then learn how to route between models by use case.

GPT-4oClaudeGemini
VS

Vector Stores

Pinecone and Qdrant for semantic search and RAG workflows. Set up and query your own vector database.

PineconeQdrant
BA

Business Apps

Gmail, Google Sheets, Slack, HubSpot, Notion, Airtable, and more, the apps your team already uses, now AI-enabled.

GmailSlackHubSpot
Py

Python (optional)

Optional Python snippets for custom logic inside n8n code nodes. Deep Python knowledge is not required.

Code nodesOptional

Your instructor

Vincent Amedekah

Vincent Amedekah

Data Engineer · AI/ML Engineer · Educator

Vincent brings over a decade of practical engineering experience building AI-powered systems in production environments. In this course, he teaches a systems-first approach so you can move from one-off automations to reliable workflows teams can trust.

n8nZapierPythonOpenAILangChainData EngineeringAI/ML