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Training Arduino Expert - Master Advanced IoT Projects

Ref: YOQ590
10 people max.
$6,300 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Design complex embedded systems with Arduino
  • Integrate advanced wireless communications (WiFi, Bluetooth)
  • Optimize code performance for real-time applications
  • Develop IoT interfaces connected to the cloud
  • Debug and secure critical embedded projects
  • Build scalable industrial prototypes
  • Master specialized shields and modules

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without expert Arduino mastery, 65% of IoT projects fail in the prototype phase, generating 5 000€ in losses per failed iteration and 2-3 month delays in competitive markets.

  • Non-optimized code causes hardware overheating (40% failures), security leaks expose data (risk of 20M€ GDPR fines), faulty cloud integrations block scalability.

  • Are you losing clients to agile competitors?

  • Invest 35h for reliable prototypes, 10x ROI in 6 months via secured industrial contracts.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Arduino Programming: multitask code optimization (FreeRTOS, interrupts)

Dive into refactoring complex sketches, implement FreeRTOS for smooth multitasking, handle precise interrupts with timers, test on Tinkercad simulator then real shields, produce optimized firmware reducing latency by 80%, exercises on real industrial automation cases to boost your expert skills.

Module 2Expert Sensors and Actuators: advanced I2C/SPI protocols (virtual oscilloscope tools)

Configure I2C/SPI buses for high-precision sensors like IMU or LIDAR, integrate advanced PWM actuators with feedback, perform sensor data fusion exercises, generate deliverables like a real-time monitoring dashboard, using PlatformIO and pro Arduino IDE, turn your ideas into reliable and performant prototypes.

Module 3IoT and Connectivity: WiFi/ESP32, MQTT/cloud (Node-RED, AWS IoT)

Deploy ESP32 modules for secure WiFi, code MQTT protocols for smooth cloud exchanges, integrate Node-RED and AWS IoT Core via interactive dashboards, simulate mesh networks, produce a complete IoT project with push alerts, practical exercises on industrial cases like remote monitoring, accelerate your professional deployments.

Module 4Security and Debugging: encryption, signal analysis (JTAG, Serial Plotter)

Secure firmware with AES and TLS certificates, master advanced debugging via JTAG and virtual logic analyzers, optimize energy consumption for batteries, track bugs in real-time with Serial Plotter, perform security audits on existing projects, deliverables include certified reports, become unstoppable against critical failures.

Module 5Final Industrial Project: complete Arduino integration (functional prototype deliverable)

Synthesize learning in a personalized capstone project, like an autonomous IoT robot or SCADA system, assemble hardware/software with pro shields, test in real conditions via videoconference, present investor pitch, receive certified feedback and Qualiopi certificate, leave with boosted portfolio ready for expert missions.

Evaluation method

  • Daily technical quizzes, graded practical exercises, final project evaluated by experts (70% practical)

Learning method

  • 70% hands-on on real projects, 30% applied theory, professional tools (Arduino IDE, PlatformIO, Tinkercad)

Methods, materials and delivery

The Training Arduino Expert - Master Advanced IoT Projects program is delivered onsite or remote (blended-learning, e-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 Arduino Expert - Master Advanced IoT Projects 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 Arduino Expert - Master Advanced IoT Projects 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 eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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