Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- 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.
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this training, 70% of Raspberry Pi projects fail due to poor GPIO configuration, wasting 20 hours on unnecessary debugging.
Lose IoT contracts to trained competitors who deploy 3x faster.
Risk costly hardware overheating (up to 500€ per fried Pi) and security breaches exposing data (80% of hacks via open ports).
Your career stagnates without advanced mastery, while IoT explodes (+25% market/year).
Invest 5 days to multiply productivity x4, avoid these concrete pitfalls, and dominate your prototypes starting tomorrow.
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.
Evaluation method
- Daily technical quizzes, evaluated hands-on projects, final exam on IoT project.
Learning method
- Project-based pedagogy, pair exercises, real business cases.
Methods, materials and delivery
The Training Raspberry Pi - Master Advanced IoT in 5 Days program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Raspberry Pi - Master Advanced IoT in 5 Days program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Raspberry Pi - Master Advanced IoT in 5 Days program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Raspberry Pi - Master Advanced IoT in 5 Days training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Raspberry Pi - Master Advanced IoT in 5 Days training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Linux basics, Python programming, electronics basics and GPIO.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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