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 Projects training are: Mastery of C/C++, experience with basic Arduino projects, knowledge of analog/digital electronics.. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Arduino Expert - Master Advanced IoT Pr... | 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 Projects 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 Projects 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 Projects 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 embedded systems with Arduino

Integrate advanced wireless communications (WiFi, Bluetooth)

Optimize code performance for real-time applications

Develop IoT interfaces connected to the cloud

Debug and secure critical embedded projects

Build scalable industrial prototypes

Master specialized shields and modules

Training program

Module 1Advanced Arduino Programming: multitask code optimization (FreeRTOS, interrupts)

Dive into refactoring complex sketches, implement FreeRTOS for smooth multitasking, handle precise interrupts with timers, test on Tinkercad simulator then real shields, produce optimized firmware reducing latency by 80%, exercises on real industrial automation cases to boost your expert skills.

Module 2Expert Sensors and Actuators: advanced I2C/SPI protocols (virtual oscilloscope tools)

Configure I2C/SPI buses for high-precision sensors like IMU or LIDAR, integrate advanced PWM actuators with feedback, perform sensor data fusion exercises, generate deliverables like a real-time monitoring dashboard, using PlatformIO and pro Arduino IDE, turn your ideas into reliable and performant prototypes.

Module 3IoT and Connectivity: WiFi/ESP32, MQTT/cloud (Node-RED, AWS IoT)

Deploy ESP32 modules for secure WiFi, code MQTT protocols for smooth cloud exchanges, integrate Node-RED and AWS IoT Core via interactive dashboards, simulate mesh networks, produce a complete IoT project with push alerts, practical exercises on industrial cases like remote monitoring, accelerate your professional deployments.

Module 4Security and Debugging: encryption, signal analysis (JTAG, Serial Plotter)

Secure firmware with AES and TLS certificates, master advanced debugging via JTAG and virtual logic analyzers, optimize energy consumption for batteries, track bugs in real-time with Serial Plotter, perform security audits on existing projects, deliverables include certified reports, become unstoppable against critical failures.

Module 5Final Industrial Project: complete Arduino integration (functional prototype deliverable)

Synthesize learning in a personalized capstone project, like an autonomous IoT robot or SCADA system, assemble hardware/software with pro shields, test in real conditions via videoconference, present investor pitch, receive certified feedback and Qualiopi certificate, leave with boosted portfolio ready for expert missions.