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Training Industrial IoT - Deploying Secure Industrial IoT Solutions

Ref: JGG590
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 architectures for professional enterprise deployments.
  • Configure MQTT and LoRa for reliable communications in industrial environments.
  • Integrate advanced sensors into certified IoT solutions.
  • Develop secure and scalable Industrial IoT applications.
  • Optimize predictive maintenance via IoT to reduce downtime.
  • Implement Industrial IoT projects with a focus on professional skills.

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: Architectures and Protocols (MQTT, LoRa, AWS IoT Tools)

Discover the pillars of Industrial IoT through practical workshops on edge-to-cloud architectures, configure your first devices with MQTT for secure exchanges, explore LoRaWAN for long-range transmissions in factories, create a complete deployment diagram with Lucidchart, test real Industry 4.0 integration cases, obtain a deliverable: personalized architecture plan adapted to your sector.

Module 2Advanced Industrial IoT Protocols: MQTT & LoRa in Depth (Mosquitto, ChirpStack)

Dive into MQTT for reliable publishing/subscribing, install a Mosquitto broker remotely, simulate LoRa flows with virtual ChirpStack gateways, analyze QoS to prioritize critical data, code Python scripts to parse industrial payloads, apply to a machine monitoring scenario, produce a deliverable: functional MQTT/LoRa broker with analysis logs.

Module 3Industrial IoT Sensors & Sensors: Integration and Calibration (Arduino, Raspberry Pi)

Select and calibrate industrial sensors like vibration, temperature, pressure using Raspberry Pi, interface with Industrial IoT via I2C/SPI, develop firmware for real-time data acquisition, integrate with MQTT for Grafana dashboard, test robustness in simulated factory conditions, resolve electromagnetic noise cases, deliverable: connected sensor prototype with IoT API.

Module 4Industrial IoT Security and Scalability: Authentication, Edge Computing (TLS, Docker)

Strengthen Industrial IoT cybersecurity with TLS/SSL on MQTT, implement X.509 authentication for devices, deploy edge computing via Docker on Raspberry nodes, scale with mini Kubernetes, simulate attacks and countermeasures, analyze GDPR/ICS compliance, apply to production chain, deliverable: secure Industrial IoT cluster resistant to cyber threats.

Module 5Industrial IoT Projects and Optimization: Predictive Maintenance (Basic ML, Deployment)

Complete a capstone Industrial IoT project: predictive monitoring with sensors, MQTT/LoRa, and basic ML via TensorFlow Lite, optimize for 99% uptime, integrate alerts via Telegram/Slack, evaluate ROI with KPI metrics, present your solution remotely, receive coach feedback, deliverable: complete Industrial IoT application deployed in the cloud with professional report.

Evaluation method

  • Daily technical quizzes on Industrial IoT protocols and tools.
  • Final practical project: deployment of a complete solution.
  • Qualiopi certificate issued upon skills validation.

Learning method

  • 70% hands-on with interactive remote labs on technical platform.
  • 30% theory via videos and real business cases.
  • Individualized exercises to anchor Industrial IoT skills.
  • 3-month post-training support with alumni community.

Methods, materials and delivery

The Training Industrial IoT - Deploying Secure Industrial IoT 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 Industrial IoT 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 Industrial IoT 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

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
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« 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
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« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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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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