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Training Industrial IoT - Mastering IIoT for Industry 4.0

Ref: FCY743
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
in-person

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Learning objectives

  • Master Industrial IoT protocols such as MQTT and LoRa for reliable enterprise connectivity.
  • Develop professional skills in integrating sensors into IIoT systems.
  • Design scalable IIoT architectures adapted to Industry 4.0 and certification requirements.
  • Implement real-time monitoring solutions to optimize industrial production.
  • Deploy secure IIoT projects with a focus on predictive maintenance in professional training.
  • Optimize LoRaWAN network performance for large-scale industrial deployments.

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 1Industrial IoT Fundamentals: Architectures and MQTT/LoRa Protocols (Tools, Schemas, Use Cases)

Discover the pillars of Industrial IoT through immersion in edge-to-cloud architectures, using MQTT for pub/sub messaging and LoRa for long-range transmissions. Perform practical configurations on Raspberry Pi and industrial simulators, analyze real data flows, and create your first deployment schemas adapted to the connected factory, with exercises on network latency and reliability.

Module 2Industrial IoT Sensors: Integration and Data Acquisition (Hardware, Calibration, APIs)

Dive into the world of industrial sensors with modules like DHT22, ultrasonics, and vibration sensors, connected via LoRaWAN and MQTT brokers. Calibrate devices in real conditions, integrate them into IIoT platforms like Node-RED, test real-time data acquisition on Arduino, and generate prototype dashboards to monitor vibrations and temperatures, simulating predictive maintenance scenarios.

Module 3Industrial IoT Security and Scalability: Middleware and Edge Computing (TLS, Docker, Orchestration)

Strengthen your skills by securing IIoT flows with TLS/SSL on MQTT, implement LoRa authentication, and deploy Docker containers for edge computing. Configure industrial gateways, orchestrate sensor fleets via lightweight Kubernetes, analyze common vulnerabilities, and validate scalable architectures on real factory cases, producing security compliance reports.

Module 4Industrial IoT Deployment and Optimization: Real Projects and Predictive Maintenance (IIoT Platforms, Analytics)

Conclude your training with a capstone project on a virtual production line, integrating MQTT/LoRa, sensors, and analytics with AWS IoT or Azure. Optimize performance using basic ML for failure prediction, deploy in pilot mode, measure ROI with industrial KPIs, and prepare a complete deliverable: enterprise-ready IIoT blueprint, including post-deployment training and technical support.

Evaluation method

  • Daily interactive quizzes on IIoT protocols and tools.
  • End-of-training project: deployment of a complete IIoT solution.
  • Practical evaluation in pairs on real industrial cases with certified feedback.

Learning method

  • 70% hands-on: practical workshops with real hardware (Raspberry Pi, LoRa sensors).
  • 30% theory: Industrial IoT concepts tailored to professional contexts.
  • Active methods: team challenges to simulate factory environments.
  • Digital support: video replays and post-training resources accessible.

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

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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