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.
Training: Industrializing SLAM - Optimizing Autonomous Mapping
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the industrialization of SLAM for professional projects
- Develop skills in real-time sensor fusion
- Design Deep Learning pipelines for mapping
- Implement Prompt Engineering optimizations in embedded AI
- Deploy certified enterprise solutions
- Optimize the scalability of SLAM algorithms
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 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.
Program
Module 1Theme: Industrializing SLAM with ROS2 and Sensors (tools, methods, deliverables)
Participants explore real-time SLAM architecture, integrate ROS2 with LiDAR and cameras, perform practical calibration exercises, and produce an initial deliverable of an optimized 3D map. The training emphasizes professional best practices for transitioning from a prototype to an industrialized system.
Module 2Theme: Deep Learning Applied to SLAM (tools, methods, deliverables)
This day covers training detection and matching models for SLAM, using TensorFlow and PyTorch, concrete cases on real data, and generating a validated AI pipeline deliverable. Learners compare performances and integrate latency reduction techniques.
Module 3Theme: Prompt Engineering and SLAM Optimization (tools, methods, deliverables)
Focus on prompt engineering to refine embedded AI models, exercises on scene description generation, integration into SLAM loops, and production of an optimized prompts deliverable. The session includes quantitative benchmarks on accuracy and speed.
Module 4Theme: Industrial Deployment of SLAM (tools, methods, deliverables)
Trainees deploy a complete SLAM solution on cloud and edge, configure scalability, perform robustness tests, and deliver a certifying package ready for the enterprise. Concrete use cases in autonomous robotics and performance audits conclude the training.
Evaluation method
- Knowledge validation quizzes each day
- Final project with technical deliverables
- Professional skills certificate
Learning method
- Practical exercises on real data
- Industrial use cases
- Personalized feedback
- Shared resources and code
Methods, materials and delivery
The Training: Industrializing SLAM - Optimizing Autonomous Mapping 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: Industrializing SLAM - Optimizing Autonomous Mapping 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: Industrializing SLAM - Optimizing Autonomous Mapping 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: Industrializing SLAM - Optimizing Autonomous Mapping training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training: Industrializing SLAM - Optimizing Autonomous Mapping training?+
The training lasts 4 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?+
Proficiency in Python, basics in computer vision and experience with AI frameworks like TensorFlow
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.
On-site & remote
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