FORMATION IA
Make (Integromat) pour l'Automatisation Métier
Construisez des automatisations multi-étapes dans Make pour éliminer définitivement les tâches manuelles ops et marketing.
Ce qu'elle couvre
Les participants apprennent à concevoir, construire et maintenir des scénarios d'automatisation prêts pour la production dans Make (anciennement Integromat), en couvrant les flux de données visuels, les transformations, les filtres et les modules alimentés par l'IA. La formation combine des exercices pratiques de construction de scénarios avec des cas d'usage métier réels issus des contextes ops et marketing. À l'issue de la formation, les participants peuvent concevoir de manière autonome des workflows multi-modules complexes, gérer les erreurs efficacement et choisir en connaissance de cause entre Make et ses concurrents comme Zapier ou n8n. Le format est un atelier pratique ou un programme structuré selon le niveau de profondeur requis.
À l'issue, vous saurez
- 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
Sujets abordés
- 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
Modalité
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.
Ce qui fait que ça marche
- 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
Erreurs fréquentes
- 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
Quand NE PAS suivre cette formation
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.
Fournisseurs à considérer
Sources
Cette formation fait partie d'un catalogue Data & IA construit pour les leaders sérieux sur l'exécution. Lancez le diagnostic gratuit pour voir quelles formations sont prioritaires pour votre équipe.