n8n — AI Workflow Automation & Agent Building
capability building,
designed for your organisation.
A custom-built corporate programme for Operations leads, business analysts, RevOps and MarOps practitioners, no-code builders, solo entrepreneurs, AI agency owners, and developers wanting a faster path from LLM to production workflow. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- n8n vs Zapier vs Make vs Power Automate — when each wins (and when n8n loses)
- Open-source vs cloud edition; n8n Enterprise governance features
- The 2026 n8n ecosystem: 400+ integrations, AI nodes, MCP support
- Lab: install n8n locally + cloud trial; build your first 3-node workflow
Want the full module-by-module syllabus, sample assignments, and pricing?
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Demonstrable skills your team will apply on live projects.
Build production AI agents on n8n end-to-end
From first trigger to deployed multi-agent system with memory, retrieval, and tool use — without writing application code unless you choose to.
Integrate RAG pipelines into automated workflows
Vector store ingestion, chunking, embedding, retrieval, re-ranking — all orchestrated visually inside n8n.
Self-host and scale n8n for unlimited workflows
Docker, VPS, Coolify, queue mode, Redis backend, n8n Enterprise governance, custom node development.
Earn the GSDC n8n AI Automation certification
Two attempts; cohort first-attempt pass rate 93%. Credential built for both individual portfolios and corporate L&D.
Launch a portfolio of 5 production-ready workflows
Lead-gen agent, multichannel customer support, RAG knowledge agent, email triage, RevOps dashboard automation.
Monetise through agency or in-house automation roles
Packaging patterns, pricing models, and the AI Automation Agency operating playbook for those building externally.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Aware n8n exists, may have tried Zapier or Make, but stuck at toy automations that don't connect to AI usefully
- ·Limited fluency wiring LLMs (OpenAI, Claude, Gemini) into real business workflows beyond chat
- ·No experience with retrieval-augmented generation in a no-code or low-code platform
- ·Cannot independently build a multi-step agent that handles email, calendar, CRM, and database actions
- ·No discipline for self-hosting, error handling, or managing API costs across hundreds of automated runs
- ·Unable to package n8n workflows as repeatable services or sell as an AI automation agency offering
Where they'll arrive
- ✓Production AI agent building — multi-tool agents with memory, retrieval, and decision logic in n8n
- ✓RAG pipelines on n8n — Pinecone, Supabase, pgvector integration with chunking and re-ranking
- ✓Multi-channel automation — email, Slack, WhatsApp, Telegram, Discord, voice (Retell, Vapi)
- ✓Self-hosting & scaling — VPS deployment, queue mode, redis backend, n8n Enterprise
- ✓Cost & governance discipline — error handling, retries, budget guardrails, human-in-the-loop
- ✓Portfolio + monetisation — 5+ production-grade workflows, agency-ready packaging, MCP integration
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
No, the course is designed for beginners and business professionals who want to build AI automations using n8n’s no-code and low-code workflows.