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Automation by Building Agentic AI Systems

Go from your first system prompt to a self-hosted team of AI agents on WhatsApp and Telegram, then package it as an AI agency offer or micro-SaaS, all without writing code.

For anyone who wants to build and sell real AI automations and multi-agent systems with no-code tools, with no programming background required..

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1 lesson
  1. Welcome to the course: what you will learn Welcome 5 min

Module 1: System Prompts That Control Agents and Cut Cost

7 lessons
  1. How an AI agent works: model, instructions, tools and memory Lesson 1 10 min quiz
  2. Anatomy of a system prompt: role, goal, rules, output format Lesson 2 8 min
  3. Guardrails in the prompt: refusals, escalation and staying on task Lesson 3 8 min
  4. Structured outputs: making agents return clean JSON every time Lesson 4 9 min
  5. Tokens and pricing: measuring what each agent run really costs Lesson 5 8 min
  6. Cutting cost: shorter prompts, smaller models and prompt caching Lesson 6 10 min
  7. Project: a customer support agent prompt tested against 10 tricky messages Lesson 7 8 min

Module 2: Your First Working AI Automation

7 lessons
  1. Triggers, nodes and data flow: reading a no-code workflow in n8n Lesson 1 9 min
  2. Building a lead capture flow: web form to Google Sheets to email Lesson 2 8 min
  3. Adding an AI step: classifying and summarizing incoming messages Lesson 3 8 min
  4. Real actions without paid APIs: built-in nodes, webhooks and free tiers Lesson 4 9 min
  5. Running free local models with Ollama for zero per-call cost Lesson 5 9 min
  6. Error handling, retries and alerts so a workflow never fails silently Lesson 6 8 min
  7. Project: an AI appointment booking assistant ready to show a client Lesson 7 9 min

Module 3: Your AI Operating System on a Private Server

7 lessons
  1. Why self-host: data ownership, control and predictable costs Lesson 1 9 min
  2. Renting a VPS and securing it: domain, SSL and firewall basics Lesson 2 10 min
  3. One-click installs with Docker panels: n8n, database and AI models Lesson 3 8 min
  4. Giving agents memory: storing conversations and business data in a database Lesson 4 8 min
  5. Knowledge bases with RAG: letting agents answer from your own documents Lesson 5 8 min
  6. Backups, updates and monitoring so your server stays healthy Lesson 6 9 min
  7. Project: a reusable AI OS blueprint you can deploy for any project Lesson 7 9 min

Module 4: Agentic Systems: Manager and Worker Agents

7 lessons
  1. From one agent to a team: when a multi-agent system is worth it Lesson 1 8 min
  2. Designing the manager agent: planning, routing and delegating tasks Lesson 2 8 min
  3. Building worker agents with tools: research, writing and data entry Lesson 3 9 min
  4. Handoffs between agents: passing context without losing details Lesson 4 9 min
  5. Review loops: a checker agent that approves or sends work back Lesson 5 8 min
  6. Human in the loop: approvals, limits and logs for safe autonomy Lesson 6 8 min
  7. Project: an agent team that turns a sales inquiry into a sent proposal Lesson 7 8 min

Module 5: Omnichannel Integration: WhatsApp, Telegram and MCP

6 lessons
  1. Setting up the official WhatsApp Business Cloud API and message templates Lesson 1 9 min
  2. Connecting your agent to WhatsApp: receiving, replying and sending media Lesson 2 8 min
  3. Building a Telegram bot and linking it to the same agent Lesson 3 9 min
  4. One brain, many channels: shared memory across WhatsApp, Telegram and web Lesson 4 9 min
  5. MCP explained: how one server gives agents tools on 50+ platforms Lesson 5 8 min
  6. Project: an omnichannel assistant that books, invoices and updates the CRM Lesson 6 9 min

Module 6: From Build to Business: AI Agency and Micro-SaaS

7 lessons
  1. Choosing your model: AI agency services or a branded micro-SaaS Lesson 1 9 min
  2. Packaging an offer: a niche, a clear result and a demo that sells Lesson 2 8 min
  3. Pricing AI work: setup fees, retainers and usage-based plans Lesson 3 8 min
  4. Client dashboards: showing results, usage and ROI without code Lesson 4 9 min
  5. Subscriptions and payments: charging customers every month Lesson 5 9 min
  6. Working from a template library: adapting ready workflows for each client Lesson 6 8 min
  7. Project: launch your branded offer with a landing page, pricing and first demo Lesson 7 9 min

Watch the whole course on YouTube