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Training LoRaWAN - Deploying Long-Range IoT Networks

Ref: EZJ352
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 LoRaWAN protocols for professional IoT deployments in enterprise settings
  • Configure LoRaWAN gateways and nodes using Semtech tools for certifiable skills
  • Develop scalable and secure LoRaWAN applications through practical training
  • Optimize LoRaWAN sensor management to reduce energy consumption
  • Implement hybrid MQTT-LoRa LoRaWAN networks in professional contexts
  • Deploy end-to-end LoRaWAN solutions with a focus on enterprise reliability

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 Fundamentals: Protocols and Architecture (Semtech Tools, NS-3 Simulations)

Discover the PHY and MAC basics of LoRaWAN through practical workshops on Semtech SX1276 kits, simulate network topologies with NS-3 to analyze LoRa modulation, configure classes A/B/C in guided exercises, produce a functional LoRaWAN architecture diagram, integrate spreading factor and duty cycle concepts to optimize range, apply to concrete agro-industry cases with expert feedback.

Module 2LoRaWAN Configuration: Gateways and Nodes (Dragino Hardware, TTN Software)

Install and configure Dragino LG308 gateways on Raspberry Pi, deploy end-device nodes with temperature/humidity sensors, integrate The Things Network (TTN) for uplink/downlink, test OTAA/ABP activations in real-time, analyze logs via MQTT bridge, generate network performance reports, troubleshoot common issues like packet collisions, apply to smart city scenarios with pair exercises.

Module 3LoRaWAN Security: Encryption and Authentication (LoRaWAN 1.1, Key Management)

Implement LoRaWAN 1.1 security with AppKey/NwkKey via cryptographic workshops, configure MIC and replay protection on real nodes, simulate man-in-the-middle attacks to strengthen defenses, integrate LoRaWAN Backend Interfaces (LNS/JS), test EUIs compliance with Semtech tools, produce security audits for enterprise deployments, explore ABP vs OTAA for critical use cases like industrial monitoring.

Module 4LoRaWAN Integration: MQTT and Advanced Sensors (Eclipse Mosquitto Brokers, Bosch Sensors)

Connect LoRaWAN to MQTT via Mosquitto brokers for smooth data pipelines, integrate Bosch BME680 sensors and accelerometers on LoRa nodes, develop custom JSON payloads, automate processing with Node-RED, test LoRaWAN-4G hybridizations in labs, optimize QoS for 99.9% reliability, generate live LoRaWAN data Grafana dashboards, apply to logistics use cases with scalable enterprise focus.

Module 5LoRaWAN Deployment: Optimization and Scaling (ChirpStack, Real Enterprise Projects)

Deploy multi-gateway LoRaWAN networks with open-source ChirpStack, optimize ADR for battery autonomy, scale to 1000+ nodes in massive simulations, integrate Prometheus/Grafana monitoring, resolve advanced RF interferences, finalize capstone project on real client case like smart metering, produce certifiable rollout plan, benefit from post-training coaching for enterprise implementations.

Evaluation method

  • Daily technical quizzes and hands-on labs on LoRaWAN to validate learning
  • Final project: Evaluated end-to-end LoRaWAN network deployment
  • Qualiopi-certified attestation with LoRaWAN skills portfolio

Learning method

  • 70% hands-on practice with real LoRaWAN hardware and simulations
  • 30% applied theory with concrete business cases
  • Collaborative exercises in small groups of max 4
  • Unlimited access to post-training resources for 6 months

Methods, materials and delivery

The Training LoRaWAN - 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 - 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 - 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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