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 Intermediate Arduino Training - Create Advanced IoT Projects training are: Solid Arduino basics, elementary C++ programming, Arduino IDE usage, electronics fundamentals.. A preliminary interview validates your eligibility.

Is the training available in person?

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

Intermediate Arduino Training - Create Advanced ... | 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 Intermediate Arduino Training - Create 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 Intermediate Arduino Training - Create 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 Intermediate Arduino Training - Create 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 objectives

Deepen advanced Arduino programming with complex libraries.

Integrate advanced sensors and wireless communication modules.

Develop connected and secure IoT applications.

Optimize code for high performance and low power consumption.

Master debugging, unit testing, and hardware diagnostics.

Realize a complete project with custom user interfaces.

Training program

Module 1Advanced Shields: Installation and Programming (Arduino IDE, Ethernet)

Dive into Ethernet and WiFi shields for Arduino, install dedicated libraries, program TCP/IP communications through interactive exercises, test an embedded web server on real cases like home automation monitoring, produce a first connected and operational deliverable, gain immediate autonomy.

Module 2Complex Sensors: Integration and Data Processing (Arduino, I2C)

Explore advanced sensors like gyroscopes and barometers with I2C/SPI protocols, code real-time filtering algorithms, apply to practical robotic navigation exercises, analyze data via Serial Plotter, create a prototype dashboard, turn your ideas into reliable prototypes.

Module 3IoT and Connectivity: MQTT, Cloud (Arduino, ESP8266)

Master MQTT to publish/subscribe to IoT data, integrate ESP8266 with Arduino for low-cost WiFi, develop a connected home system via simulated exercises, connect to platforms like ThingSpeak, deploy a cloud-ready deliverable, open the doors to Industry 4.0.

Module 4Optimization and Debugging: Performance, Power Consumption (Arduino Serial)

Optimize Arduino code for low consumption and max speed, profile with integrated tools, debug common failures via virtual oscilloscope and logic analyzer, test on critical cases like embedded batteries, generate ultra-efficient firmware, boost your projects to production.

Module 5Capstone Project: Full Integration and Deployment (Full-Stack Arduino)

Synthesize learning in a personalized IoT project like a connected alarm, integrate all learned modules, test end-to-end with coach feedback, finalize virtual PCB and basic mobile app, deliver a portfolio-ready project, leave with recognized expertise and professional network.