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.

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 Expert Training - Deploy Ultra-Secure IoT Networks training are: Mastery of LPWAN protocols, embedded Linux, C/Python programming, IoT deployment experience.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the LoRaWAN Expert Training - Deploy Ultra-Secure IoT Networks training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

LoRaWAN Expert Training - Deploy Ultra-Secure Io... | 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 Expert Training - Deploy Ultra-Secure 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 Expert Training - Deploy Ultra-Secure 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 Expert Training - Deploy Ultra-Secure 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 objectives

Configure multi-operator LoRaWAN gateways

Optimize network coverage and scalability

Implement end-to-end security with AES-128 encryption

Integrate LoRaWAN with cloud platforms like AWS IoT

Diagnose and resolve complex failures in real time

Develop custom applications with LoRaWAN stack

Ensure ETSI compliance and CE certifications

Training program

Module 1LoRaWAN Architecture: PHY/MAC Modeling (Semtech Tools, NS Simulations)

Dive into advanced LoRaWAN architecture, model PHY and MAC layers with Semtech SX130x tools, perform propagation simulations on The Things Network, configure classes A/B/C in practical exercises, generate your first decoded LoRa frames, and validate mesh topologies for optimal coverage from day one.

Module 2Hardware Deployment: Gateways and Sensors (RAK, Dragino, Field Tests)

Install and configure RAK Wireless and Dragino gateways on site, integrate industrial sensors like Bosch or Seeed, conduct range tests in real environments with GPS tracking, analyze RSSI/SNR via Wireshark LoRa, produce a hardware benchmark report, and optimize power for 5-year autonomy.

Module 3Network Server: Advanced Configuration (TTN, ChirpStack, ADR)

Deploy a private ChirpStack Network Server on Docker, integrate it with TTN for hybridization, enable Adaptive Data Rate in massive scenarios, manage 1000+ nodes via REST API, simulate jamming attacks to validate resilience, generate custom Grafana dashboards, and export logs for 24/7 monitoring.

Module 4LoRaWAN Security: Encryption and Authentication (CMAC, FUOTA)

Implement AES-128 encryption and CMAC on end-devices, configure secure keys via Join Server, test FUOTA for over-the-air updates, simulate replay and MITM attacks with SDR HackRF, strengthen ABP/OTAA against zero-key vulnerabilities, produce a certified security audit, and integrate blockchain for traceability.

Module 5Integration and Optimization: Cloud, Real Cases (AWS IoT, Final Projects)

Integrate LoRaWAN with AWS IoT Core and Azure, develop MQTT pipelines for data streaming, optimize via ML for failure prediction, solve a real smart factory case with 500 nodes, complete a deliverable final project, present your deployable PoC, and obtain your LoRa Alliance expert certification.