Live Class 1: What Are AI Agents? Meet n8n & Build Your First Chatbot

Topic: AI Agent vs traditional chatbot vs raw LLM — where the real difference lies | Core components of an agent (Model, Tools, Memory, Reasoning loop) | Real-world business use cases and market scope — where the money is | Current limitations and future possibilities | What n8n is and why it dominates no-code/low-code automation | n8n interface tour: workflow, node, trigger, execution log | Setting up and connecting an OpenAI/Claude API key | Hands-on: Build and test your first conversational chatbot

Live Class 2: Build an Email-Based Customer Support Agent — From Theory to Live Delivery

Topic: Business value of support automation and why freelancers get paid for it | Setting up the Gmail/email trigger node and OAuth connection | Reading incoming emails and classifying intent | Designing a system prompt to lock in brand voice | Generating auto-reply drafts with human-in-the-loop approval | Edge-case handling: spam, irrelevant, and angry customers | Hands-on: Build a full support agent and debug common errors

Live Class 1: The Ins & Outs of JSON, Arrays, Objects, Strings, Numbers & Booleans

Topic: JSON syntax: key-value pairs, objects {}, arrays [] | Data types: string, number, boolean, null | Reading nested objects and arrays of objects | Accessing nested data with JSON path / dot notation | Mastering the n8n expression editor ({{ }}) | Common JSON mistakes and fixing data-format mismatches | Hands-on: Extract specific data from any API response

Live Class 2: Data Transformation in n8n — Mastering the Set Node & Code Node

Topic: Why data transformation is needed (fixing input-output mismatches) | Creating, renaming, and restructuring fields with the Set node | Item, list, and item-linking concepts | Custom logic in the Code node using JavaScript | Loop, filter, and map operations | Merging, splitting, and aggregating data | Hands-on: Clean messy API data into a usable format

Live Class 1: The Ins & Outs of APIs — Build a Weather Agent with the HTTP Request Node

Topic: What an API really is and why every agent depends on it | REST API basics: endpoint, method (GET/POST/PUT/DELETE), header, body | Authentication methods: API key, Bearer token, OAuth — and when to use which | How to read and test API documentation (using real docs) | The n8n HTTP Request node in depth | Understanding and handling rate limiting, timeouts, and status codes (200/400/401/429/500) | Hands-on: Build a Weather Agent by calling a weather API

Live Class 2: Webhooks from A to Z — Build a Historian Agent with Real-Time Triggers

Topic: What a webhook is and how polling differs from webhooks | Why webhooks are the backbone of real-time automation | Setting up the webhook node in n8n (test vs production URL) | Reading and parsing incoming payloads | Webhook security: signature verification and secret tokens | Triggering a webhook from an external app, form, or curl | Hands-on: Build a Historian Agent that returns information on request, plus webhook debugging (404s, wrong payloads)

Live Class 1: Web Scraping with Apify — Where There's Data, There's Opportunity

Topic: What web scraping is, plus its legal and ethical limits | Apify platform overview and the actor concept | Using ready-made actors (Google Maps, LinkedIn, any website) | Bringing scraped data into n8n | Handling pagination, rate limits, and anti-bot measures | Cleaning and structuring data | Hands-on: Scrape structured data from a real target

Live Class 2: Build a Lead Generation Agent — Full Pipeline from Scraping to CRM

Topic: The lead-gen business model and why it's in high freelancing demand | Defining your target (ICP — Ideal Customer Profile) | Scraping leads with Apify (name, email, company) | Email verification and enrichment | Auto-pushing to Google Sheets / Airtable / CRM | Duplicate removal and data quality | Hands-on: Deliver an end-to-end lead generation agent

Live Class 1: The Ins & Outs of RAG — Why Agents Need Their Own "Memory"

Topic: LLM knowledge limitations and the hallucination problem | What RAG (Retrieval Augmented Generation) actually is | What embeddings and vectors are, and how they work | Chunking strategy (size, overlap) | Vector database concepts and similarity search | The RAG pipeline: ingest → embed → store → retrieve → generate | When you need RAG and when you don't

Live Class 2: Build a RAG-Based Customer Support Agent with a Supabase Vector Database

Topic: Setting up Supabase and enabling pgvector | Preparing the knowledge base (docs, FAQ, PDF) | Ingesting documents and storing embeddings | Building the retrieval pipeline in n8n | Generating accurate answers from retrieved context | Source citation and accuracy verification | Hands-on: A support agent running on the company's own data

Live Class 1: MCP (Model Context Protocol) & Its Practical Usage

Topic: What MCP is and why it's called "USB-C for AI" | MCP server vs client architecture | How to connect an MCP server | Popular MCP servers (filesystem, GitHub, database) | MCP integration in n8n / Claude | The concept of exposing your own tool via MCP | Hands-on: Connect and use a real tool through MCP

Live Class 2: Build an AI Receptionist — A Smart Agent That Handles Calls & Chats

Topic: Receptionist agent use cases (clinic, salon, agency) and business scope | Multi-intent handling (booking, FAQ, routing) | Checking appointments via calendar integration | Holding conversation context with memory | Designing fallback and human handoff | Hands-on: Build and test a full AI receptionist

Live Class 1: Build a Meeting Scheduler Agent with make.com

Topic: make.com vs n8n — when to choose which | The make.com interface: scenario, module, route | Google Calendar integration | Checking availability and suggesting slots | Sending email/notification confirmations | Multi-step scenarios and error handlers | Hands-on: Build a full meeting scheduler agent

Live Class 2: Social Media Automation with make.com

Topic: The business scope of content automation | Multi-platform posting (Facebook, Instagram, LinkedIn, X) | Generating captions and content with AI | Handling images and media | Scheduling and queue management | Pulling analytics data | Hands-on: Build a social media auto-poster