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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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The Training Arduino Advanced - Develop Complex 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.
To ensure the quality of the Training Arduino Advanced - Develop Complex IoT Projects training, Learni provides the following 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.
The assessment of skills acquired during the Training Arduino Advanced - Develop Complex IoT Projects training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into intensive practical exercises where you assemble Ethernet shields and environmental sensors on Arduino Mega, program secure MQTT communications via ESP8266, optimize code for low energy consumption with advanced interrupts, test in real-time on connected breadboards, create a complete IoT prototype for industrial monitoring, generate professional schematics with Fritzing and deployable firmwares, while solving real-world cases inspired by industry to boost your skills immediately.
Target audience
Electronic engineers, embedded developers, IoT technicians seeking to advance their skills in advanced automation.
Prerequisites
Mastery of C/C++ programming, experience with Arduino Uno and basic shields, regular use of the Arduino IDE.
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