Training Synthetic Data for Perception – Real-World Validation

$4,620

  • 4 days
  • in-person
  • 10 people max.
Ref: ZKW344
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
in-person

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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  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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

Synthetic Data for Perception training objectives

  • Generate annotated synthetic datasets that cover perception variations encountered in industrial robotics.
  • Combine synthetic and real data while measuring operational impact for the business.
  • Evaluate exclusively on held-out real data to ensure reliable performance.
  • Detect rendering artifacts that the model learns instead of the actual task.
  • Compare generation costs versus collection costs to support business decisions.
  • Explain the sim-to-real gap and validate every simulation against physical hardware.
  • Deploy an honest validation methodology directly applicable in industrial settings.

Program

Synthetic Data for Perception curriculum: 4 modules over 4 days

Module 1 : Generation of Annotated Synthetic Data (Unity, Blender, automatic annotations)

Participants design rendering pipelines to create annotated images covering lighting, pose and texture variations. Hands-on exercises on concrete robotic cases produce usable datasets. Deliverables include generation scripts and internally validated datasets.

Module 2 : Mixing Synthetic and Real Data (impact measurement, stratification)

Analysis of the respective contribution of each source through controlled metrics. Learners build progressive mixing protocols and measure gains on perception tasks. Industrial case studies illustrate operational trade-offs and deliverables include quantified impact reports.

Module 3 : Artifact Detection and Validation on Real Data (hold-out, metrics)

Systematic identification of rendering bias and implementation of strict evaluation on real data excluded from training. Practical work on industrial hardware quantifies the sim-to-real gap and corrects models. Deliverables: test pipeline and documented diagnostics.

Module 4 : Generation versus Collection Costs and Deployment (ROI, SCADA integration)

Economic comparison of approaches and integration of results into predictive-maintenance workflows. Participants finalize a complete methodology and a deployment plan adapted to their company. Final presentation with operational recommendations and ready-to-use deliverables.

How Synthetic Data for Perception skills are assessed

  • Measure the gap between predictions on synthetic data and real-world performance.
  • Qualitative analysis of detected artifacts and correction of pipelines.
  • Presentation of a validation report on held-out real data.

How the Synthetic Data for Perception course is taught

  • Automated generation of annotated datasets tailored to robotics.
  • Rigorous mixing protocols and evaluation on real data.
  • Detection and correction of simulation bias.
  • Economic analysis and integration into industrial processes.

Synthetic Data for Perception training: access and practical arrangements

The Training Synthetic Data for Perception – Real-World Validation 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 Synthetic Data for Perception – Real-World Validation 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 Synthetic Data for Perception – Real-World Validation 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 Synthetic Data for Perception 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.

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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

Synthetic Data for Perception: frequently asked questions

Which tools are used in Synthetic Data for Perception training?+
Hands-on work runs on unity, blender, automatic annotations, impact measurement, stratification and hold-out. Those tools come from the Synthetic Data for Perception program itself, delivered in-person over 4 days, so participants practise on the stack they will use at work.
What can participants do after Synthetic Data for Perception training?+
They can generate annotated synthetic datasets that cover perception variations encountered in industrial robotics, combine synthetic and real data while measuring operational impact for the business and evaluate exclusively on held-out real data to ensure reliable performance. Those are the stated objectives of the Synthetic Data for Perception program at Advanced level, checked by the end-of-session assessment.
What does the Synthetic Data for Perception program cover, day by day?+
Day 1: Generation of Annotated Synthetic Data (Unity, Blender, automatic annotations). Day 2: Mixing Synthetic and Real Data (impact measurement, stratification). Day 3: Artifact Detection and Validation on Real Data (hold-out, metrics). Day 4: Generation versus Collection Costs and Deployment (ROI, SCADA integration). The Synthetic Data for Perception program runs over 4 days, delivered in-person.
How is Synthetic Data for Perception training assessed?+
Assessment relies on measure the gap between predictions on synthetic data and real-world performance, qualitative analysis of detected artifacts and correction of pipelines and presentation of a validation report on held-out real data. Learni issues a completion certificate together with the individual assessment report at the end of the Synthetic Data for Perception program, which an L&D team can file as evidence.
How much does Synthetic Data for Perception training cost per participant?+
Synthetic Data for Perception training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 Synthetic Data for Perception training take?+
4 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 Synthetic Data for Perception 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 Synthetic Data for Perception training?+
Proficiency in Python, experience with computer vision and real datasets, fundamentals of machine learning.
Is a certificate issued after Synthetic Data for Perception 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 Synthetic Data for Perception 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.
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