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Training Industrial IoT - Deploying Secure IIoT Solutions

Ref: EWV512
10 people max.
5500€ 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
5 journées
distanciel

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Learning objectives

  • Master Industrial IoT protocols to optimize production chains in the enterprise
  • Develop advanced skills in MQTT and LoRa for reliable IIoT deployments
  • Design secure architectures integrating sensors in industrial environments
  • Implement edge computing solutions for real-time IoT data analysis
  • Benefit from certified professional IIoT training to boost enterprise competitiveness
  • Deploy complete IIoT projects with a focus on predictive maintenance and Industry 4.0

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 1Sensors: Advanced Integration in Industrial IoT (tools, calibration, protocols)

Discover advanced industrial sensors such as ultrasonics, vibrations, and high-precision temperatures, calibrate them using Arduino and Raspberry Pi tools, integrate them via Modbus and Profibus for reliable real-time readings, perform practical exercises on fault detection, create initial dashboards with Node-RED, and test robustness in simulated factory conditions, ensuring a solid foundation for scalable IIoT.

Module 2MQTT & LoRa: Long-Range Protocols for Industrial IoT (broker, gateways, QoS)

Dive into MQTT with Mosquitto broker for optimized pub/sub communication, configure LoRaWAN gateways for long-distance transmissions in extended factories, implement QoS levels suited to critical data, develop Python scripts for publishers/subscribers, simulate packet loss scenarios, and deploy a hybrid MQTT-LoRa network, delivering a functional prototype ready for industrial production.

Module 3IIoT Security: Authentication and Encryption in Industrial IoT (OPC UA, certificates)

Strengthen cybersecurity with secure OPC UA and X.509 certificates, configure TLS/SSL on MQTT brokers, implement zero-trust architecture for exposed sensors, analyze common attacks like Mirai adapted to IIoT through practical workshops, test edge firewalls with software firewalls, and generate vulnerability reports, ensuring protection compliant with industrial standards like IEC 62443.

Module 4Edge Computing: Local Processing in Industrial IoT (Kubernetes, ML models)

Deploy Kubernetes clusters on edge devices for decentralized processing, integrate lightweight ML models with TensorFlow Lite to predict machine wear, fuse real-time sensor data via Apache Kafka, optimize latency with exercises on Raspberry Pi clusters, develop data processing pipelines, and validate predictive maintenance use cases, producing a scalable and high-performance edge deployment.

Module 5Deployment & Optimization: Complete Industrial IoT Projects (IIoT platform, monitoring)

Finalize a capstone project integrating MQTT, LoRa, sensors, and edge security on an IIoT platform like AWS IoT or Azure, monitor with Grafana and Prometheus for proactive alerts, optimize costs and scalability through tuning workshops, present quantified ROI on real Industry 4.0 cases, and receive a skills certificate, ready to implement in the enterprise for accelerated digital transformation.

Evaluation method

  • Daily technical quizzes on IIoT protocols and tools
  • Final IIoT deployment project evaluated by experts
  • Personalized case study with individual feedback

Learning method

  • 70% hands-on workshops on real hardware
  • Case studies from leading IIoT factories
  • 3-month post-training support for implementation
  • Qualiopi-certified pedagogical method adapted for professionals

Methods, materials and delivery

The Training Industrial IoT - Deploying Secure IIoT Solutions 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 - Deploying Secure IIoT Solutions 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 - Deploying Secure IIoT Solutions 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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