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.

What is the duration of the Training Raspberry Pi - Master Advanced IoT in 5 Days training?

The Training Raspberry Pi - Master Advanced IoT in 5 Days training takes place over 35 hours. The program is structured in progressive modules for optimal skill development.

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 Raspberry Pi - Master Advanced IoT in 5 Days training are: Linux basics, Python programming, electronics basics and GPIO.. A preliminary interview validates your eligibility.

What are the objectives of the Training Raspberry Pi - Master Advanced IoT in 5 Days training?

The objectives of the Training Raspberry Pi - Master Advanced IoT in 5 Days training are: Configure and optimize a Raspberry Pi for complex IoT projects.. Program advanced Python scripts for automation.. Master GPIO with connected sensors and actuators.. Develop web interfaces and APIs on Raspberry Pi.. Secure deployments and manage performance.. Build a complete, deployable IoT project.. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training Raspberry Pi - Master Advanced IoT in 5 Days training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Raspberry Pi - Master Advanced IoT in 5... | 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 Raspberry Pi - Master Advanced IoT in 5 Days 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 Raspberry Pi - Master Advanced IoT in 5 Days 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 Raspberry Pi - Master Advanced IoT in 5 Days 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 program

Module 1Installation and Configuration: Raspberry Pi OS, Networking, Advanced Tools

Install Raspberry Pi OS on SD card, configure Ethernet, WiFi and SSH for remote access, enable VNC and system monitoring, complete exercises on overclocking and Pi clusters, test with real domotics cases, leave with an optimized IoT-ready setup.

Module 2Python Programming: Advanced Scripts, Libraries (RPi.GPIO, Threading)

Dive into Python on Pi, code multithreaded scripts for asynchronous tasks, integrate GPIO and MQTT libraries, develop automations with timers and conditions, apply to temperature monitoring exercises, produce functional and debugged deliverables.

Module 3GPIO and Hardware: Sensors, Actuators, Interfacing (DHT22, Relays)

Connect DHT22 and ultrasonic sensors to GPIO, program real-time readings, control relays and motors via PWM, simulate real IoT scenarios like intrusion alarms, test robustness with interrupts, create interactive prototypes that hum with efficiency.

Module 4Networking and Web: Flask Servers, MQTT, IoT APIs

Deploy Flask web servers on Pi, integrate MQTT for broker communication, create live sensor data dashboards, secure with SSL certificates, practice on business cases like industrial monitoring, deliver a web app accessible anywhere.

Module 5Final Project and Optimization: Security, Deployment, Troubleshooting

Design a complete IoT project like a connected weather station, optimize CPU and memory, apply encryption and firewall, debug in groups on real failures, deploy to production via Docker, leave with a professional portfolio and competency certificates.