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Training LoRaWAN - Deploying Long-Range IoT Networks

Ref: ELS529
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 days
in-person

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Learning objectives

  • Master advanced LoRaWAN protocols to optimize competencies in certified professional training
  • Design scalable multi-gateway architectures tailored to business needs
  • Deploy and secure LoRaWAN networks with ChirpStack and TTN in critical environments
  • Integrate MQTT and sensors for high-performance, reliable IoT data streams
  • Optimize energy consumption and range of LoRaWAN nodes in real-world projects
  • Diagnose and resolve advanced malfunctions for enterprise-level expertise

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 Architectures: Designing Multi-Gateway Networks (ChirpStack, TTN, Simulation Tools)

Discover advanced principles of LoRaWAN classes A, B, and C, configure hybrid topologies with RAK and Dragino gateways, simulate urban and rural coverage scenarios via LoRaWAN Simulator, analyze node density impacts on bandwidth, perform practical exercises on real hardware to model a pilot network, produce a deliverable architecture diagram with key performance metrics, integrate redundancy considerations for professional resilience.

Module 2LoRaWAN Security: Implementing ABP and OTAA (LoRaWAN 1.1, Cryptographic Keys, Certificates)

Dive into LoRaWAN 1.0.4 and 1.1 security mechanisms, deploy ABP and OTAA activations on Semtech and STMicroelectronics nodes, generate and manage AES-128 keys via The Things Stack, test replay and fuzzing attacks with tools like LoRaTap, configure ACLs and VPNs for gateways, conduct LoRa Alliance compliance audits, produce a security report with mitigation protocols, apply to critical enterprise cases like industrial telemetry.

Module 3LoRaWAN-MQTT Integration: Data Bridges and Advanced Sensors (Node-RED, Bosch Sensors, Texas Instruments)

Connect LoRaWAN to MQTT via Mosquitto and EMQX brokers, integrate environmental sensors like BME680 and LIS3DH accelerometers on LoRaWAN nodes, develop data flows with Node-RED and InfluxDB for Grafana dashboards, optimize ADR payloads to minimize consumption, test indoor/outdoor geolocation scenarios, analyze latencies in real conditions, create an end-to-end prototype with REST API, export deliverables including Python scripts and Docker configurations for rapid enterprise deployments.

Module 4LoRaWAN Optimization and Troubleshooting: Advanced Diagnostics (LoRaWAN Monitor, RF Tools, Real Enterprise Cases)

Master spectral diagnostics with SDR and LoRa Packet Forwarder, optimize SF and TP via Adaptive Data Rate, resolve interferences and collisions in dense environments, implement multi-NS roaming via LoRaWAN Backend Interfaces, analyze ChirpStack logs for root cause analysis, simulate scaling failures with 100+ nodes, develop Ansible automation scripts for deployments, produce a Zabbix monitoring plan with predictive alerts, apply to industrial case studies for immediate certifiable expertise.

Evaluation method

  • Expert quiz on LoRaWAN protocols and security
  • Case study: simulated multi-node network deployment
  • Final project: optimization of a real IoT network with report

Learning method

  • 70% hands-on practice on dedicated LoRaWAN hardware (gateways, nodes, sensors)
  • Real business cases (smart city, industry 4.0)
  • Agile methods adapted to professional IoT projects
  • Post-training digital support with expert community

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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