COURSE PREVIEWAbout this course
This course contains the use of artificial intelligence.
AI agents are the biggest shift in how we work since the internet — software that doesn't just answer questions, but perceives, decides, and acts to get things done. This course takes you from curious beginner to confident agent builder, with zero coding required.
You'll start by understanding exactly what AI agents are (and what they're not), then take apart how they work: the five ingredients every agent shares, the six types of agents from simple reflex to modern LLM agents, and the reasoning patterns — ReAct, ReWoo, chaining, routing, orchestration — that make them smart. You'll learn to teach agents with system prompts, few-shot examples, chain-of-thought reasoning, memory systems, and context engineering.
Then you'll build. Three complete, guided, no-code projects: a research agent in n8n that briefs you every Monday morning, a personal AI chief of staff in Google AI Studio, and a team of specialist agents (researcher, writer, critic) that collaborate on real work. You'll connect everything with MCP, the open standard for agent tools, and you'll learn the professional disciplines — guardrails, evaluations, cost control, security — that make agents trustworthy.
Every section includes hands-on exercises using free tiers (ChatGPT, Gemini, Google AI Studio, n8n). Your guide throughout is NOVA, our robot co-pilot, who keeps things fun while you do serious building.
By the end, you won't just understand AI agents — you'll have three working ones, a trust charter, and a 30-day action plan to put them to work.
What you'll learn
- Explain exactly what AI agents are and how they differ from chatbots and workflows
- Identify the five ingredients every agent needs: environment, sensors, model, decision logic, and actions
- Distinguish the six types of agents, from simple reflex to modern LLM agents
- Apply reasoning patterns: ReAct, ReWoo, chaining, routing, and orchestration
- Write bulletproof system prompts using roles, missions, rules, and boundaries
- Use few-shot prompting, chain-of-thought, memory systems, and context engineering
- Build a scheduled research agent in n8n (no code)
- Build a personal AI assistant in Google AI Studio with multi-step workflows
- Orchestrate a team of specialist agents that collaborate on complex work
- Connect agents to thousands of tools with MCP (Model Context Protocol)
- Protect your agents with guardrails, evaluations, cost controls, and security basics
- Calculate the business value of agents and design your hybrid human-AI role
- Follow a 30-day action plan to deploy agents in your real work
Before you begin
- No programming experience needed — everything is no-code.
- A computer with a web browser and internet connection.
- Free accounts: Google (for Gemini/AI Studio), ChatGPT, n8n (free tier).
- Curiosity and willingness to experiment — every section has hands-on exercises.
Who this is for
- Professionals who want to understand AI agents beyond the hype
- Anyone who wants to build working AI agents without writing code
- Managers and team leads exploring how agents fit into their workflows
- Entrepreneurs looking for leverage through automation
- Students and career-switchers entering the AI space
- Curious minds who learn best by building real things
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