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 Training Arduino Expert - Master Advanced IoT Systems training are: Mastery of C/C++, successful Arduino projects, basics of analog/digital electronics, advanced Shields.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Arduino Expert - Master Advanced IoT Systems training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Arduino Expert - Master Advanced IoT Sy... | 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 Training Arduino Expert - Master Advanced IoT Systems 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 Training Arduino Expert - Master Advanced IoT Systems 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 Training Arduino Expert - Master Advanced IoT Systems 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

Design complex multi-sensor IoT prototypes

Optimize firmware for ultra-responsive performance

Integrate advanced wireless protocols like LoRa, Zigbee

Debug embedded systems in real time

Deploy scalable projects in industrial production

Automate testing chains with embedded CI/CD tools

Secure IoT communications against cyber threats

Training program

Module 1Advanced Arduino Electronics: Optimized Circuits, Custom Shields (Multiplexers, Op-Amps)

Dive into professional Arduino circuit redesign, test 74HC4051 multiplexers for 64 inputs, integrate LM358 op-amps on virtual breadboard, complete practical exercises with Tinkercad to simulate high-power loads, produce exportable Eagle schematics, gain immediate reliability for your demanding IoT prototypes.

Module 2Expert Arduino Firmware: Code Optimization, Interrupts (Timer1, Advanced PWM)

Master C++ code refactoring for microsecond-critical timing, configure Timer1 interrupts on Arduino Mega, experiment with 16-bit PWM using hardware timers, code anti-lockup exercises via Watchdog, analyze profilers for bottlenecks, deliver 50% faster lightweight firmwares, transform your projects into precise, responsive machines.

Module 3Advanced IoT Sensors on Arduino: Data Fusion (IMU MPU6050, GPS NEO-6M)

Fuse professional sensor data like MPU6050 for 9-axis tracking, couple GPS NEO-6M with live Kalman filter, test real drone autonomy cases via Serial Plotter, calibrate BMP280 barometers for precise altitudes, generate CSV-exportable datasets, boost your embedded applications with irresistible onboard intelligence.

Module 4Wireless Communications on Arduino: LoRa, Zigbee, Secure MQTT (ESP32 Bridge)

Deploy LoRaWAN networks with long-range SX1276 modules, integrate Zigbee XBee for robust mesh, bridge MQTT via ESP32 in Arduino IDE, simulate farm-to-cloud IoT scenarios with Node-RED, secure with AES256, produce connected Grafana dashboards, propel your systems to unstoppable industrial connectivity.

Module 5Arduino Production Deployment: CI/CD, Security, Scalability (OTA Updates)

Automate PlatformIO builds with GitHub Actions, implement OTA via ESP8266 for wireless updates, harden against buffer overflow attacks, scale 100+ Arduino fleets via AWS IoT, test end-to-end with Postman, deliver certified production-ready projects, conclude with a professional portfolio that impresses recruiters.