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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.
10 spots per session maximum — 10 already taken
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Don't let this gap widen
Without mastery of BMP280 sensor integration, IoT projects deliver inaccurate environmental data, compromising reliability in weather monitoring, drones, and smart systems.
Engineers waste an average of 35 hours per prototype on debugging interfacing errors, incurring $4,200 in productivity losses per incident according to industry benchmarks.
65% of IoT failures trace back to sensor mishandling, exposing companies to $50,000+ in scrapped deployments and stalled innovation.
Every month without expertise widens the gap against agile competitors seizing precise data advantages.
The Training: Master the BMP280 Sensor: Integration and Use in 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: Master the BMP280 Sensor: Integration and Use in 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: Master the BMP280 Sensor: Integration and Use in 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.
Presentation of environmental sensors. Architecture and operating principles of the BMP280. Pressure, temperature measurements, and altitude derivation. Comparison with alternatives (BMP180, BME280). Help in choosing the sensor suited to your project. Presentation of interfaces (I2C, SPI). Hands-on handling and analysis of the component's technical documentation.
Wiring diagrams for Arduino, ESP32, Raspberry Pi. Logic level management. Troubleshooting common connections. Getting started with different modules (breakout boards, shields). Techniques to limit interference and ensure accuracy. Practical exercises for connection on breadboard.
Installation of suitable libraries (Adafruit, Bosch, etc.). First scripts in Arduino (C++) and Raspberry Pi (Python). Structure of read data. Filtering, storage, and real-time visualization. Software calibration of the sensor. Setting up an IoT telemetry solution: sending data to an online database (Google Sheets, InfluxDB, etc.), visualization dashboard with Node-RED. Practical use cases: connected weather station, indoor comfort optimization, home automation application.
Target audience
Developers, engineers, makers, teachers, and technicians wishing to integrate environmental measurement into their electronic and IoT projects
Prerequisites
Basic knowledge in electronics and programming (Python or Arduino)
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