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LoRaWAN Expert Training - Deploy Scalable IoT Networks

Ref: PCM419
10 people max.
$5,040 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Design scalable LoRaWAN architectures for industrial IoT
  • Optimize network performance and energy consumption
  • Implement advanced protocols such as LoRaWAN 1.1 and Regional Parameters
  • Secure communications with AES-128 encryption and key management
  • Integrate LoRaWAN with MQTT, AWS IoT, and edge computing
  • Troubleshoot and monitor in real-time using tools like ChirpStack

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 LoRaWAN expertise, 65% of IoT networks fail in production, generating €45,000 in annual losses from unnecessary maintenance, critical failures causing production halts (up to 10h/day), battery overconsumption multiplied by 3, non-compliance with GDPR/ETSI resulting in €75,000 fines, outpaced by competitors with scalable deployments, missed IoT LPWAN market opportunities (projected €50B by 2028).

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1LoRaWAN Architecture: Advanced Modeling (ChirpStack, Semtech, Simulations)

Dive into designing multi-gateway architectures, simulate topologies with NS-3, configure Network Server instances, perform exercises on LoRa radio propagation, produce a scalable network diagram ready for 10,000 nodes, test urban interference scenarios to master optimal gateway placement.

Module 2LoRaWAN Deployment: Installation and Configuration (Helium Hardware, TTN)

Install RAK and Dragino gateways, deploy a test network on The Things Network, integrate industrial sensors like Bosch, calibrate SF and ADR parameters through practical exercises, generate firmware configuration deliverables, simulate a deployment over 5 km² with RF coverage analysis.

Module 3LoRaWAN Optimization and Security: Advanced Protocols (LoRaWAN 1.1, Security)

Optimize QoS with Adaptive Data Rate, implement ABP/OTAA security and MIC, code Python scripts for key management, analyze replay attacks through real cases, produce a complete security audit, test inter-operator roaming for reliable hybrid networks.

Module 4LoRaWAN Integration and Troubleshooting: Real Projects (MQTT, Monitoring)

Integrate LoRaWAN with Kafka and Grafana for real-time dashboards, deploy an end-to-end project on AWS IoT Core, troubleshoot with Wireshark and LoRa Packet Forwarder, implement a smart city use case, deliver a performance report with 99.9% uptime metrics, prepare for expert certification.

Evaluation method

  • Continuous assessment through practical exercises, final project, and expert MCQ (80% pass rate required)

Learning method

  • Project-based pedagogy, 70% hands-on practice, real industrial IoT cases, individualized feedback

Methods, materials and delivery

The LoRaWAN Expert Training - Deploy 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 LoRaWAN Expert Training - Deploy 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 LoRaWAN Expert Training - Deploy 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

Registration is possible up to 48 business hours before the start of training. All our programs are eligible for corporate training budgets and employer-funded plans.

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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