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Training Industrial IoT - Mastering IIoT for Industry 4.0

Ref: QVP376
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 journées
distanciel

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Learning objectives

  • Master MQTT and LoRa protocols to deploy Industrial IoT solutions in the enterprise
  • Configure and integrate advanced sensors in secure industrial environments
  • Develop practical skills in Industrial IoT for professional certification training
  • Design scalable IIoT architectures tailored to industrial production needs
  • Optimize real-time data collection via sensors and protocols to boost efficiency
  • Implement essential cybersecurity measures in enterprise Industrial IoT

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Industrial IoT Fundamentals: MQTT LoRa Protocols and Sensors (Basic Architecture)

Discover advanced Industrial IoT basics with immersion in MQTT and LoRa for reliable factory communication, configure your first industrial sensors through hands-on workshops on Raspberry Pi and Arduino, analyze real integration cases in production lines, create a simple IIoT architecture diagram using tools like Node-RED, test real-time connectivity to validate data flows, and produce a functional deliverable ready to scale in the enterprise.

Module 2Industrial IoT Sensor Integration: Calibration and Data Acquisition (Edge Computing Tools)

Dive into precise sensor configuration for Industrial IoT, calibrate vibration and thermal devices with LoRaWAN protocols, implement data acquisition via MQTT broker on edge platforms like AWS IoT or Azure, perform hands-on exercises in real-time filtering and processing, simulate connected factory scenarios to detect anomalies, generate interactive dashboards with Grafana, and produce a validated sensor performance report for immediate production application.

Module 3Industrial IoT Security and Scalability: Secure MQTT LoRaWAN and Fleet Management (Best Practices)

Strengthen Industrial IoT cybersecurity by implementing TLS on MQTT and LoRa encryption, manage a sensor fleet via platforms like The Things Network, explore common IIoT vulnerabilities with simulated attacks, deploy firewall rules and multi-factor authentication, optimize scalability for 100+ devices in a full-scale workshop, analyze reliability metrics, and deliver a complete security plan tailored to your enterprise context to minimize operational risks.

Module 4Industrial IoT Production Deployment: Real Cases with MQTT LoRa Sensors (Final Certifying Project)

Apply your Industrial IoT skills to a capstone project simulating a 4.0 factory, integrate MQTT LoRa with sensors for predictive monitoring, deploy in a hybrid cloud with Docker containers, test resilience under high load, analyze production KPIs via basic AI for optimization, present your IIoT solution to peers and trainer, receive personalized feedback and skills certificate, and leave with source code and deployment guide for immediate certified enterprise implementation.

Evaluation method

  • Daily interactive quizzes on Industrial IoT protocols and sensors
  • Practical IIoT deployment project with MQTT and LoRa, continuously evaluated
  • Final presentation and certifying MCQ for skills validation

Learning method

  • 70% hands-on practice with real hardware sensors and protocols
  • 30% applied theory with concrete industrial IIoT case studies
  • Small group work for collaborative MQTT and LoRa exercises
  • Hourly personalized feedback from Qualiopi-certified experts

Methods, materials and delivery

The Training Industrial IoT - Mastering IIoT for Industry 4.0 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 Industrial IoT - Mastering IIoT for Industry 4.0 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 Industrial IoT - Mastering IIoT for Industry 4.0 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

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TomFormation AWS — Cloud Practitioner
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Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

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AmbreDWWM - Développement Web & Mobile React
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« 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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