Training Embedded Sensor Data - Collection and Labeling

$3,465

  • 3 days
  • Remote
  • 10 people max.
Ref: WQE762
10 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Remote

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Célian Lebacle, Learni trainer · Web & mobile expert
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

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  • Aptar
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  • EDF
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  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Embedded Sensor Data training objectives

  • Design a sensor data collection campaign covering operating regimes, sites and variations for high-performing embedded models.
  • Timestamp and contextualize each recording to make it usable in professional IoT projects.
  • Label continuous signals with a stable, verifiable convention adapted to enterprise constraints.
  • Measure class imbalance and correct it directly through collection rather than post-training weighting.
  • Estimate the required data volume before launch to control costs of an embedded IoT project.
  • Validate the quality of collected data against real criteria: latency, memory and energy per inference.

Program

Embedded Sensor Data curriculum: 3 modules over 3 days

Module 1 : Collection Campaign Design (Sensors, Arduino)

Analysis of IoT use cases and definition of target operating regimes. Design of the collection plan with timestamps and contextual metadata. Selection of sensors and MQTT protocols. Practical exercises on Arduino to record time series under real conditions. Deliverables: campaign plan and first raw datasets.

Module 2 : Labeling and Imbalance Correction (Raspberry Pi, Firmware)

Implementation of a stable and traceable labeling convention. Measurement of class imbalance on collected data. Adjustment of collection strategy rather than weighting. Work on Raspberry Pi with Python scripts to annotate and balance datasets. Deliverables: labeled datasets ready for training.

Module 3 : Validation and Volume Estimation (RTOS, FPGA & Microcontrollers)

Estimation of required volume before deployment. Latency, memory and energy consumption tests on embedded targets. Trade-offs between accuracy and real constraints. Integration of feedback into a new collection cycle. Deliverables: validation report and operational recommendations for the enterprise.

How Embedded Sensor Data skills are assessed

  • Daily quiz on collection and labeling choices
  • Review of datasets produced by participants
  • Final presentation of the campaign plan and target metrics

How the Embedded Sensor Data course is taught

  • Design collection campaigns adapted to IoT constraints
  • Apply a stable and verifiable labeling convention
  • Correct imbalance directly through field collection
  • Evaluate a model on latency, memory and energy

Embedded Sensor Data training: access and practical arrangements

The Training Embedded Sensor Data - Collection and Labeling 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 Embedded Sensor Data - Collection and Labeling 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 Embedded Sensor Data - Collection and Labeling 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.

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.

Our method

How Learni guarantees the quality of your Embedded Sensor Data training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Embedded Sensor Data: frequently asked questions

Which tools are used in Embedded Sensor Data training?+
Hands-on work runs on sensors, arduino, raspberry Pi, firmware, RTOS and FPGA & Microcontrollers. Those tools come from the Embedded Sensor Data program itself, delivered remotely over 3 days, so participants practise on the stack they will use at work.
What can participants do after Embedded Sensor Data training?+
They can design a sensor data collection campaign covering operating regimes, sites and variations for high-performing embedded models, timestamp and contextualize each recording to make it usable in professional IoT projects and label continuous signals with a stable, verifiable convention adapted to enterprise constraints. Those are the stated objectives of the Embedded Sensor Data program at Intermediate level, checked by the end-of-session assessment.
What does the Embedded Sensor Data program cover, day by day?+
Day 1: Collection Campaign Design (Sensors, Arduino). Day 2: Labeling and Imbalance Correction (Raspberry Pi, Firmware). Day 3: Validation and Volume Estimation (RTOS, FPGA & Microcontrollers). The Embedded Sensor Data program runs over 3 days, delivered remotely.
How is Embedded Sensor Data training assessed?+
Assessment relies on daily quiz on collection and labeling choices, review of datasets produced by participants and final presentation of the campaign plan and target metrics. Learni issues a completion certificate together with the individual assessment report at the end of the Embedded Sensor Data program, which an L&D team can file as evidence.
How much does Embedded Sensor Data training cost per participant?+
Embedded Sensor Data training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Embedded Sensor Data training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Embedded Sensor Data training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Embedded Sensor Data training?+
Basic knowledge of C or Python programming, familiarity with simple sensors and microcontrollers such as Arduino or Raspberry Pi.
Is a certificate issued after Embedded Sensor Data training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Embedded Sensor Data training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

Let's build your Embedded Sensor Data learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

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