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Training LoRaWAN 2026 - Deploying Long-Range IoT Networks

Ref: RCL520
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 LoRaWAN 2026 protocols for scalable professional IoT projects
  • Design secure architectures integrating gateways and advanced sensors
  • Deploy enterprise LoRaWAN networks with performance optimization
  • Implement MQTT-LoRa interoperability for reliable data transmission
  • Optimize sensor and sensor management in industrial environments
  • Develop certifiable skills for complex IoT use cases

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 1LoRaWAN 2026 Fundamentals: Advanced Protocols and Modulation (Semtech Tools, NS-3 Simulations)

Discover LoRaWAN 2026 evolutions through practical workshops on Semtech SX126x stacks, configure CSS modulations for maximum range, simulate dense networks with NS-3 to analyze collisions, test OTAA/ABP activations on real hardware, produce initial performance reports, integrate native security from the design phase for robust professional projects.

Module 2LoRaWAN 2026: Architectures and Gateways (The Things Network Deployment, ChirpStack)

Design multi-gateway LoRaWAN 2026 architectures with open-source ChirpStack, deploy multi-operator gateways on Raspberry Pi, manage roaming and handover in real conditions, integrate MQTT broker for data streams, perform scaling exercises to 1000 nodes, generate Grafana dashboards for monitoring, apply concrete industrial cases like smart cities.

Module 3LoRaWAN 2026: Sensors, Sensors and MQTT-LoRa Interoperability (Arduino Firmware, STMicro Sensors)

Implement advanced firmware for STMicro LSM6DS sensors on LoRaWAN 2026 nodes, optimize energy consumption via adaptive duty cycle, couple with MQTT 5.0 for reliable publish/subscribe, test end-to-end interoperability on TTN platform, analyze latency and packet loss in the lab, develop battery-powered autonomous prototypes, document APIs for enterprise integration.

Module 4LoRaWAN 2026: Optimization, Security and Production Deployment (Certification, Troubleshooting)

Optimize LoRaWAN 2026 networks against jamming and DoS via post-quantum encryption, deploy in production with dynamic ADR and geofencing, troubleshoot using Wireshark LoRa, prepare EUIs certification, complete final project on business case like connected agriculture, evaluate ROI with KPI metrics, obtain deliverables ready for immediate enterprise implementation.

Evaluation method

  • Daily technical quizzes and hands-on labs to validate LoRaWAN skills
  • Complete network deployment project in pairs
  • Final certifying evaluation with report and oral presentation

Learning method

  • Practical workshops on real LoRaWAN hardware and simulators
  • Industrial IoT case studies with real-world feedback
  • Advanced simulations of dense and scalable networks
  • Personalized debriefings and coaching in small groups

Methods, materials and delivery

The Training LoRaWAN 2026 - Deploying Long-Range IoT Networks 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 LoRaWAN 2026 - Deploying Long-Range IoT Networks 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 LoRaWAN 2026 - Deploying Long-Range IoT Networks 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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Léo BlanchardFormation AWS — DevOps Engineer Professional
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« 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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