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.
Learning objectives
- Master advanced Make modules to develop complex enterprise automations
- Design multi-step workflows with Make, integrating AI and real-time data
- Optimize Make scenario performance for professional certifying skills
- Implement secure integrations with third-party APIs via Make in advanced training
- Deploy scalable Make solutions to boost team productivity
- Analyze and debug advanced Make automations in a professional context
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.
Program
Module 1Advanced Make Fundamentals: Workflow Architecture and Expert Modules (Complex Scenarios, Routers)
Discover advanced routers and iterators in Make to structure multi-flow workflows, apply them to concrete cases like CRM-ERP synchronization, perform practical exercises on large data volumes, test performances live, produce a first optimized deliverable scenario with tracking metrics, integrate conditional filters for smooth and scalable professional automation.
Module 2Make API Integrations and Webhooks: Custom Calls and Security (OAuth Authentication, Advanced Headers)
Dive into Make's expert HTTP modules for custom API calls, configure secure webhooks with HMAC signatures, simulate integrations with Stripe and Google Sheets in real-time, debug common errors via detailed logs, deploy a hybrid e-commerce workflow with data validation, obtain a production-ready certifying deliverable for enterprise.
Module 3AI Functions and Data Processing in Make: Aggregators, JSON/XML Parsers (No-Code Big Data Processing)
Leverage Make 2026's integrated AI tools to analyze massive datasets, master advanced JSON parsers and aggregators to transform raw streams into actionable insights, practice on real cases like customer sentiment analysis via OpenAI, optimize recursive loops for iterative processing, validate with unit tests, generate an automated dashboard deliverable connected to Power BI.
Module 4Make Deployment and Monitoring: Scaling, Advanced Errors, Alerting (Pro Dashboards, Team Collaboration)
Deploy Make scenarios in production mode with auto-scaling and advanced monitoring, set up Slack/Email alerts for zero downtime, collaborate in teams via shared folders, analyze quota consumption metrics, migrate from old Integromat to Make 2026, finalize a complete capstone project with ROI report, obtain skills certification for professional CV.
Evaluation method
- Daily interactive quizzes on advanced Make modules
- Real case studies with personalized feedback
- Final project: complex workflow deployed and documented
Learning method
- 70% hands-on practice: remote exercises on Make
- 30% theory: best practices and enterprise cases
- Live support: unlimited Q&A with expert trainers
- Resources: ready-to-use Make templates post-training
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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
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.
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.
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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