AI Agents with n8n (No-Code)
Building and selling production AI agents visually — no Python required — using n8n as the orchestration layer.
One-time course fee
Who should take this?
Operations, sales, marketing, consulting, and other process-focused professionals—including non-programmers.
Capability developed
Design and hand over reliable AI-assisted workflows with appropriate approvals and error handling.
Professional application
Workflow implementation, internal operations, service-business automation, or a no-code consulting capability.
What’s inside this track
- 1Agentic System Design Mindset
Build: An Agent Design Document mapping 3 real use cases in your domain.
Evidence: Can scope an agent project before opening a single tool.
- 2Automation Backbone (n8n)
Build: A production-style weekly reporting automation.
Evidence: Fluent in n8n as an orchestration engine, not just a demo toy.
- 3Intelligence Layer (OpenAI Agents)
Build: A Research → Analyze → Summarize agent.
Evidence: Can design reasoning agents that hand off cleanly to each other.
- 4Intelligent Automation (n8n + OpenAI)
Build: A Lead Intake → AI Qualification → Routing system.
Evidence: Ships a real autonomous workflow, not just a chatbot.
- 5Knowledge, Enterprise Context & Multi-Agent Systems
Build: An SOP AI assistant, plus a Research → Draft → Review → Approve → Send multi-agent system.
Evidence: Can design AI teams, not just single agents.
- 6Reliability, Governance & Monetization
Build: Capstone: present 2–3 single agents, one intelligent automation workflow, one enterprise Copilot agent, and one multi-agent architecture — fully documented.
Evidence: Walks away with a sellable, client-ready AI agency portfolio.
What you get
What you will own
Not a promise — a concrete list of what you personally build and can show a buyer, pulled from this course’s real curriculum.
- A working project: An Agent Design Document mapping 3 real use cases in your domain.
- A working project: A production-style weekly reporting automation.
- A working project: A Research → Analyze → Summarize agent.
- A working project: A Lead Intake → AI Qualification → Routing system.
- A working project: An SOP AI assistant, plus a Research → Draft → Review → Approve → Send multi-agent system.
- A working project: Capstone: present 2–3 single agents, one intelligent automation workflow, one enterprise Copilot agent, and one multi-agent architecture — fully documented.
- A completed capstone: Enterprise AI Agent Portfolio Showcase, scored across multiple dimensions
- A portfolio entry documenting how you built it, not just that you finished
- Verified skill evidence — tied to real work, not a self-rating
What you’ll prove — and own — by the end
Completion isn’t the finish line. This is what turns the course into evidence you can actually use.
Personalised from day one
A short entry diagnostic flags which modules to move through quickly and which to slow down on — the full curriculum stays available either way.
Evidence, not checkmarks
Skills track through a real mastery ladder — module completed, exercise practiced, project shipped — not just “lesson viewed.”
Your Final real-world project, AI-defended
Enterprise AI Agent Portfolio Showcase — submit real work, defend your decisions to an AI interviewer, get scored feedback across multiple dimensions.
A portfolio you can use today
Turn a finished project into a case study, resume bullets, and an interview story — drafted from your real work, yours to review before you use it anywhere.
Connect this course to practical work
See how Ropes links a skill to a business problem, portfolio proof, a bounded service, and responsible client delivery. No client or income outcome is guaranteed.
Earnings potential
A simple illustration of how freelancers commonly structure retainer pricing once they’re taking on client work.
Automation build + retainer
Illustrative example — your results will vary based on niche, effort, and client base.
Industry snapshot
Real, sourced research — current tools, market signal, and named case studies, each with a citation. Not marketing copy.