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Training Make (ex-Integromat) 2026 - Automate complex workflows

Ref: UUO499
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 days
remote

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Learning objectives

  • Master advanced Make modules to develop complex enterprise automations.
  • Design multi-flow scenarios with error handling and conditional loops in this professional training.
  • Integrate Make with third-party tools like CRM and ERP to boost no-code skills.
  • Optimize workflow performance for massive data processing with certifications.
  • Deploy scalable automations with real-time monitoring for the enterprise.
  • Implement advanced security strategies in professional Make scenarios.
  • Acquire certified no-code automation skills to accelerate digital transformation.

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Make Architecture: Designing advanced scenarios (roles, modules, flows)

Discover the advanced foundations of Make with a deep dive into multi-flow scenario architecture, using iterator and aggregator modules to handle large data volumes. Participate in practical exercises on configuring conditional routers and dynamic filters, applied to real cases like client-supplier synchronization. Create your first complex scenario with custom error handling, and test it live to validate initial performance, while exploring blueprints for quick reuse in the enterprise.

Module 2Make Integrations: Complex APIs and webhooks (OAuth authentication, custom payloads)

Dive into advanced Make integrations by connecting secure RESTful APIs via OAuth 2.0 and reactive webhooks for real-time triggers. Conduct practical workshops on JSON data transformation with embedded JavaScript functions, automating flows between Google Sheets, Slack, and HubSpot. Develop a live scenario integrating customized payloads for smart push notifications, analyze logs for effective debugging, and optimize API calls to reduce costs and latency in a professional no-code context.

Module 3Advanced Make: Loops, errors, and data stores (scalability, retry policies)

Master recursive loops and advanced iterators in Make to process massive datasets, implementing persistent data stores for state storage. Work on real cases like lead enrichment via third-party APIs with automatic retry and error escalation by email. Configure scenarios with advanced XML parsing and custom mathematical formulas, test resilience under load via simulations, and generate performance reports to demonstrate enterprise scalability, strengthening your certified automation skills.

Module 4Make Deployment: Monitoring, security, and optimization (dashboards, teams)

Finalize with professional deployment of Make scenarios by activating advanced monitoring via webhooks and customized dashboards for 24/7 supervision. Secure your flows with sensitive data encryption, team roles, and audit logs, applying best practices for GDPR compliance. Optimize costs via intelligent schedules and automatic cleanup, deploy a personal capstone project on a real business workflow, and receive expert feedback for immediate production rollout, validating your advanced no-code skills for the enterprise.

Evaluation method

  • Daily interactive quizzes on advanced Make modules to validate assimilation.
  • Real case studies with autonomous resolution of complex problems.
  • Final certifying project: deployment of a personalized Make scenario evaluated by experts.

Learning method

  • Active pedagogy with 70% hands-on practice on the Make platform remotely.
  • Hands-on exercises tailored to business contexts for immediate application.
  • Replay videos and unlimited resources to consolidate post-training learning.
  • Qualiopi certification recognized to boost your CV in no-code automation.

Methods, materials and delivery

The Training Make (ex-Integromat) 2026 - Automate complex workflows program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Make (ex-Integromat) 2026 - Automate complex workflows program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Make (ex-Integromat) 2026 - Automate complex workflows program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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