Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the LoRaWAN Training - Deploy Long-Range IoT Networks training?

The LoRaWAN Training - Deploy Long-Range IoT Networks training takes place over 35 hours. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the LoRaWAN Training - Deploy Long-Range IoT Networks training are: IoT fundamentals, Python or C programming, basics of electronics and wireless networks.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the LoRaWAN Training - Deploy Long-Range IoT Networks training is available in remote. The format can be adapted to your needs (inter, intra, custom).

LoRaWAN Training - Deploy Long-Range IoT Networks | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The LoRaWAN Training - Deploy Long-Range IoT Networks training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the LoRaWAN Training - Deploy Long-Range IoT Networks training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the LoRaWAN Training - Deploy Long-Range IoT Networks training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training 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

Training 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.