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Training LoRaWAN 2026 - Deploying Long-Range IoT Networks

Ref: GHW564
10 people max.
4375€ 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 the fundamentals of LoRaWAN 2026 for professional IoT deployments
  • Configure LoRaWAN devices and certified gateways in a business environment
  • Develop skills in LoRa modulation to optimize range and autonomy
  • Implement LoRaWAN security in certified secure networks
  • Design scalable LoRaWAN architectures for industrial applications
  • Deploy and monitor LoRaWAN networks in real-world conditions
  • Produce certified IoT prototypes using LoRaWAN 2026

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 1LoRaWAN 2026 Fundamentals: Architecture and Physical Principles (Modulation, Spectrum)

Immersive introduction to LoRaWAN 2026 basics, exploration of Classes A, B, and C architecture, hands-on with European ISM frequency bands, practical exercises on LoRa radio propagation using Semtech simulation tools, analysis of real-world urban and industrial IoT cases, creation of a simple personal network diagram as a deliverable to quickly visualize essential components.

Module 2LoRaWAN 2026 Configuration: End-Devices and Gateways (TTN, Helium, ChirpStack)

Installation and setup of LoRaWAN end-devices with Arduino and Raspberry Pi, connection to open-source gateways like RAK or Dragino, activation on The Things Network for immediate testing, guided exercises on OTAA/ABP join procedures, real-time uplink/downlink payload transmission, debugging with LoRaWAN-adapted Wireshark tools, production of a first functional node ready for enterprise integration.

Module 3LoRaWAN 2026 Protocol: Data Management and Network Server

Deep dive into the LoRaWAN 2026 protocol stack, mastery of MAC commands for adaptive data rate, configuration of a local network server with ChirpStack, application integration via MQTT and HTTP/2, practical workshops on scaling for 100+ devices, simulation of high-traffic loads without packet loss, development of a basic dashboard to monitor live data flows, enhancing your IoT skills right away.

Module 4LoRaWAN 2026 Security: Encryption and Certified Authentication (CMSR, LoRa Alliance)

In-depth coverage of LoRaWAN 2026 security mechanisms, implementation of AES-128 for app/session keys, management of LoRa Alliance CMSR certificates, exercises on common attacks like replay or jamming, securing a multi-device pilot network, compliance audit with validate.lora-alliance.org, creation of a professional security report as a deliverable for internal company audits.

Module 5LoRaWAN 2026 Deployment: Practical Projects and Optimization (Cloud Integration, Monitoring)

Finalization of the end-to-end project with deployment of a complete LoRaWAN network in real simulation, cloud integration with AWS IoT or Azure via LoRaWAN, battery autonomy optimization up to 10 years, advanced monitoring with Grafana and Prometheus, testing in degraded conditions, peer-review and collective code review, delivery of a complete deployable kit to immediately boost your professional IoT projects.

Evaluation method

  • Certified MCQ on LoRaWAN 2026 protocols and security
  • Practical evaluation of the end-to-end IoT network project
  • Interactive quiz and LoRa Alliance compliance audit

Learning method

  • Sessions led by LoRa Alliance certified LoRaWAN experts
  • Hands-on exercises on real hardware and professional simulators
  • End-to-end practical IoT project from day 1 to day 5
  • Digital learning materials and hardware kit provided

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

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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