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 MicroPython - Programming IoT Microcontrollers training are: Python programming basics, knowledge of electronics and microcontrollers. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training MicroPython - Programming IoT Microcontrollers training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training MicroPython - Programming IoT Microcont... | 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 MicroPython - Programming IoT Microcontrollers 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 MicroPython - Programming IoT Microcontrollers 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 MicroPython - Programming IoT Microcontrollers 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

Master the fundamentals of MicroPython for professional embedded applications

Develop performant IoT scripts on microcontrollers like ESP32

Configure the certifying development environment for company projects

Implement sensors and wireless communications in a professional context

Design reusable IoT prototypes with certifying skills

Optimize MicroPython code for minimal energy consumption

Deploy IoT firmwares tested in real company conditions

Training program

Module 1MicroPython Fundamentals: Installation and First Scripts (Thonny, ESP32, Practical Exercises)

Discovery and installation of the Thonny environment for MicroPython, connection to the first ESP32 microcontroller, writing basic scripts for LED blinking and simple sensor readings, practical exercises on variable management and embedded-adapted loops, real-time debugging with interactive console, production of a first testable firmware that illustrates immediate productivity gains for your IoT prototypes.

Module 2Advanced MicroPython Structures: Functions and IoT Modules (Imports, Libraries, Real-World Cases)

Exploration of functions, lists, and dictionaries optimized for limited memory, use of standard MicroPython modules like machine and time, integration of external libraries for PWM and ADC, development of a connected temperature/humidity sensor, collaborative exercises on code refactoring for enterprise reusability, creation of deliverable: modular script ready for deployment on multiple devices, enhancing your skills in certifying training.

Module 3MicroPython Communications: WiFi and Smart Sensors (urequests, MQTT, Hardware Interfacing)

ESP32 WiFi configuration with network.py, sending data via HTTP/urequests to cloud servers, setting up lightweight MQTT protocol for IoT, connecting I2C/SPI sensors like DHT22 or BME280, practical projects for real-time environmental monitoring, network robustness tests and error handling, production of a basic prototype dashboard that demonstrates immediate business value for the company.

Module 4Projects and MicroPython Optimization: Production Deployment (OTA, Low-Power, Certifying Tests)

Development of the complete flagship project: autonomous IoT station with cloud alerts, low-power techniques for battery autonomy, OTA updates without physical reprogramming, memory and CPU optimization via profiling tools, basic security evaluation and unit tests, finalization with professional documentation and simulated production deployment, consolidating your certifying skills for career transition or rapid advancement in IoT.