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Training LoRaWAN 2026 - Deploying Scalable IoT Networks

Ref: PLR282
10 people max.
5250€ 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 LoRaWAN 2026 protocols for professional IoT networks
  • Deploy certified gateways and nodes in enterprise environments
  • Optimize data management and security in LoRaWAN 2026
  • Implement scalable IoT applications with LoRaWAN
  • Configure LoRaWAN networks for real industrial use cases
  • Develop certified skills in LoRaWAN integration
  • Design LoRaWAN architectures tailored to enterprise needs

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: Protocols and Physical Architecture (PHY, MAC)

Dive into the evolution of LoRaWAN 2026 standards, install simulation environments with Semtech and The Things Network tools, configure LoRa modules for range and modulation tests, perform practical exercises on radio propagation in urban and industrial environments, build a first prototype network with performance analysis, and validate the basics for professional, secure, and efficient deployments.

Module 2LoRaWAN 2026 Gateways: Advanced Installation and Configuration (Kerlink, Multitech)

Install and configure LoRaWAN 2026-compatible gateways via web interfaces and Linux CLI, integrate them with network servers like ChirpStack or AWS IoT Core, test multi-operator connectivity with Ethernet/4G backhaul, simulate high-load scenarios for 1000+ nodes, analyze logs for early diagnostics, and deploy a functional pilot network ready for enterprise with complete documentation.

Module 3LoRaWAN 2026 Nodes and End-Devices: Development and Certification (STM32, Arduino)

Program LoRaWAN nodes with open-source stacks like LMIC or Semtech, implement OTAA/ABP activation for enhanced 2026 security, integrate industrial sensors (temperature, pressure, accelerometers), test battery autonomy over long cycles, conduct ETSI compliance tests and LoRa Alliance certification, and create connected IoT prototypes producing real-time usable data for business applications.

Module 4LoRaWAN 2026 Network Management and Security: Network Server and Integrations (ABPS, FuOTA)

Configure LoRaWAN 2026 Network Servers for centralized fleet management, implement AES-128 encryption and dynamic session keys, deploy FuOTA for secure over-the-air updates, monitor via Grafana/Prometheus dashboards for proactive alerts, integrate with MQTT/AMQP for enterprise data streams, resolve jamming and interference cases, and optimize for scalability with guaranteed high availability.

Module 5LoRaWAN 2026 Applications and Deployment: Real Cases and Optimization (smart city, industry 4.0)

Develop application dashboards with Node-RED and Grafana for real-time IoT visualization, deploy real use cases like asset tracking or environmental monitoring, optimize QoS for critical prioritization, measure ROI with metrics (response time, cost per node), complete a full red thread project deployed in cloud simulation, and prepare for skills certification to enhance your LoRaWAN expertise in enterprise.

Evaluation method

  • Multiple-choice quiz to validate acquired knowledge at the end of the training
  • Continuous evaluation through practical LoRaWAN exercises
  • Defense of the red thread IoT network project in front of the trainer

Learning method

  • Lessons led by an active LoRaWAN expert trainer
  • Practical exercises on real industrial IoT cases
  • Progressive red thread project over 5 days
  • Complete course materials provided to each participant

Methods, materials and delivery

The Training LoRaWAN 2026 - Deploying Scalable 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 Scalable 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 Scalable 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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