AI TRAINING
Make Automation for Business Builders
Build powerful multi-step automations in Make that replace manual ops and marketing workflows permanently.
What it covers
Participants learn to design, build, and maintain production-ready automation scenarios in Make (formerly Integromat), covering visual data flow, transformations, filters, and AI-powered modules. The training combines live scenario-building exercises with real business use cases drawn from ops and marketing contexts. By the end, participants can independently architect complex multi-module workflows, handle errors gracefully, and make an informed choice between Make and competing tools like Zapier or n8n. Format is hands-on workshop or structured programme depending on depth required.
What you'll be able to do
- Design and deploy a multi-module Make scenario that automates a real ops or marketing workflow end-to-end
- Apply data transformation functions (map, parse, aggregate) to reshape payloads between incompatible apps
- Implement error handling with fallback routes and email/Slack alerts so scenarios recover without manual intervention
- Integrate an AI module (e.g. OpenAI GPT or Claude) into a scenario to classify, summarise, or generate content automatically
- Evaluate whether Make, Zapier, or n8n is the right tool for a given automation requirement using a structured decision framework
Topics covered
- Visual scenario design: modules, routes, and iterators
- Data transformations: mapping, aggregators, array functions
- Filters, routers, and conditional logic
- Connecting APIs with HTTP/JSON modules (no-code approach)
- AI blocks: integrating OpenAI, Claude, and built-in AI tools
- Error handling strategies: error handlers, rollbacks, and alerts
- Scheduling, webhooks, and real-time triggers
- When to choose Make over Zapier or n8n — decision framework
Delivery
Delivered as a two-day in-person or live-virtual workshop (or split into four half-day sessions). Each participant needs a Make account (free tier sufficient for training). Approximately 70% of time is hands-on scenario building; 30% is instructor-led explanation and Q&A. Participants bring one real workflow from their organisation to automate during the session. Materials include a scenario template library, a Make vs Zapier vs n8n comparison cheat-sheet, and post-training access to a shared scenario repository.
What makes it work
- Start with one high-pain, well-scoped real workflow rather than trying to automate everything at once
- Establish a naming convention and folder structure for scenarios before scaling across teams
- Enable scenario history and version notes from day one so rollbacks are possible after changes
- Assign a designated Make owner per team who reviews new scenarios before they go live
Common mistakes
- Building monolithic scenarios with 30+ modules instead of splitting into smaller, maintainable sub-scenarios linked by webhooks
- Ignoring error handling until a scenario silently fails and corrupts CRM or billing data in production
- Using Make for simple A-to-B tasks where Zapier would be faster to maintain, or conversely, using Zapier for complex branching logic where Make is far more capable
- Storing sensitive API keys and credentials in plain-text data stores instead of Make's encrypted connections
When NOT to take this
This training is not the right fit for teams that have no existing SaaS stack or whose workflows are entirely handled inside a single monolithic ERP — there is nothing meaningful to connect yet, and the investment will not pay off.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.