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.
Learning objectives
- Master LoRaWAN architecture and protocols
- Configure LoRaWAN gateways and nodes using Semtech tools
- Integrate IoT sensors into real-world applications
- Optimize coverage, data rate, and energy consumption
- Implement security and device authentication
- Analyze performance and troubleshoot networks
- Deploy a LoRaWAN project into production
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without LoRaWAN mastery, 65% of IoT projects fail in the deployment phase, leading to losses of 40 000€ per failed installation according to Gartner.
Insufficient coverage causes 25% packet loss, tripling maintenance costs x3.
Weak security exposes to cyber-attacks, with 40% IoT breaches in 2023.
Lack of optimization drains batteries in 6 months instead of 5 years, halting projects.
Train to avoid these pitfalls, deploy reliably tomorrow, and secure 200k€ in annual savings.
Program
Module 1LoRaWAN Fundamentals: Architecture and Setup (The Things Network, Semtech)
Dive into LoRaWAN basics, explore A/B/C classes architecture, install the TTN stack online, configure your first virtual gateway, test simulated nodes, perform initial packet exchanges, and create a personal network diagram to visualize flows from day one.
Module 2Advanced Configuration: Gateways and Nodes (LoRaWAN 1.0.4, ChirpStack)
Configure physical gateways via USB, program Arduino nodes with LoRa shields, integrate SX1276, test in real conditions on EU868 spectrum, manage OTAA/ABP registration, generate detailed logs, and deploy a mini local network to validate reliable transmissions.
Module 3Application Integration: Sensors and Payloads (MQTT, Node-RED)
Develop temperature/humidity sensors with LoRaWAN, code payload parsers in Python, integrate via MQTT to Node-RED, visualize data in a Grafana dashboard, simulate connected agriculture use cases, and produce a functional prototype ready to scale for your IoT projects.
Module 4Optimization and Security: ADR, Encryption (AES-128, CMAC)
Optimize via Adaptive Data Rate, adjust SF and TXPower to maximize range, implement secure session keys, test MITM attacks, configure network ACL, analyze with Wireshark LoRa, and deliver an optimization report proving 30% gain in battery autonomy.
Module 5Final Project Deployment: Maintenance and Scaling (CI/CD LoRaWAN)
Deploy a complete smart-city project, integrate 10 real nodes, monitor via Prometheus, automate OTA updates, simulate failures and resolve them, prepare an annual maintenance plan, and deliver a turnkey solution deployable in enterprise for immediate ROI.
Evaluation method
- Daily quizzes, graded practical exercises, final project evaluated by experts, self-assessment of skills.
Learning method
- 30% theory / 70% practice alternation, exercises on virtual/real hardware, industrial case studies.
Methods, materials and delivery
The LoRaWAN Training - Deploy Long-Range IoT Networks program is delivered onsite or remote (blended-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 Training - Deploy 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 LoRaWAN Training - Deploy 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the LoRaWAN Training - Deploy Long-Range IoT Networks training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the LoRaWAN Training - Deploy Long-Range IoT Networks training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
IoT fundamentals, Python or C programming, basics of electronics and wireless networks.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
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