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Training GTSAM Ceres - Factor Graph Optimization

Course created on October 11, 2026Updated on October 12, 2026

On quote$5,775

5 days
Remote
10 people max.

Request a quote See the program

Ref: YMZ731

10 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 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.

Trusted by — schools, companies and industrial groups

25,746 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Master factor-graph optimization with GTSAM and Ceres for reliable estimates in professional robotics contexts.
Formulate a localization problem as a factor graph and precisely identify its variables.
Implement nonlinear least-squares optimization with GTSAM then Ceres on real-world data.
Handle outliers using robust kernels and explicit rejection within the graph.
Maintain a sliding window with correct marginalization to prevent drift.
Compare achieved accuracy against a recursive filter on the same datasets.

Program

Module 1Factor-graph modeling (GTSAM)

Participants model a localization problem as a factor graph, identify variables and build the graph from recorded data. Exercises on defining pose and observation factors with GTSAM, statistical structure analysis and initial consistency tests against ground truth.

Module 2Nonlinear optimization with GTSAM (Ceres)

Implementation of nonlinear least-squares optimizations in GTSAM, followed by migration to Ceres. Practical work on real datasets, solver parameter tuning and convergence verification. Deliverables: optimized graphs and statistical consistency metrics.

Module 3Robust kernels and outlier rejection (GTSAM, Ceres)

Implementation of robust kernels and explicit rejection mechanisms in both libraries. Analysis of outlier impact on the graph, method comparison and application on noisy data. Concrete cases of detecting and correcting faulty measurements in real conditions.

Module 4Sliding window and marginalization (GTSAM)

Construction and maintenance of a sliding window with correct marginalization. Work on ghost-information management, before/after marginalization comparison exercises and tests on long sequences. Focus on graph stability and drift prevention.

Module 5Validation and comparison with recursive filters (real hardware)

Comparison of graph-optimization results with those of a recursive filter on identical data. Real-hardware sessions to reproduce defects, statistical validation and final accuracy evaluation. Summary of best practices and complete deliverables.

Evaluation method

Analysis of statistical consistency of optimized graphs
Comparison of errors against measured ground truth
Reproduction and correction of defects on real data

Learning method

Build and optimize factor graphs
Use GTSAM and Ceres in industrial conditions
Manage marginalization in a sliding window
Validate estimates against real data

Methods, materials and delivery

The Training GTSAM Ceres - Factor Graph Optimization 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 GTSAM Ceres - Factor Graph Optimization 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 GTSAM Ceres - Factor Graph Optimization 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

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.

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

Frequently asked questions

Which tools are used in GTSAM Ceres training?+

Hands-on work runs on GTSAM, ceres and real hardware. Those tools come from the GTSAM Ceres program itself, delivered remotely over 5 days, so participants practise on the stack they will use at work.

What can participants do after GTSAM Ceres training?+

They can master factor-graph optimization with GTSAM and Ceres for reliable estimates in professional robotics contexts, formulate a localization problem as a factor graph and precisely identify its variables and implement nonlinear least-squares optimization with GTSAM then Ceres on real-world data. Those are the stated objectives of the GTSAM Ceres program at Expert level, checked by the end-of-session assessment.

What does the GTSAM Ceres program cover, day by day?+

Day 1: Factor-graph modeling (GTSAM). Day 2: Nonlinear optimization with GTSAM (Ceres). Day 3: Robust kernels and outlier rejection (GTSAM, Ceres). Day 4: Sliding window and marginalization (GTSAM). Day 5: Validation and comparison with recursive filters (real hardware). The GTSAM Ceres program runs over 5 days, delivered remotely.

How is GTSAM Ceres training assessed?+

Assessment relies on analysis of statistical consistency of optimized graphs, comparison of errors against measured ground truth and reproduction and correction of defects on real data. Learni issues a completion certificate together with the individual assessment report at the end of the GTSAM Ceres program, which an L&D team can file as evidence.

How much does GTSAM Ceres training cost per participant?+

GTSAM Ceres training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does GTSAM Ceres training take?+

5 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 GTSAM Ceres 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 GTSAM Ceres training?+

Proficiency in C++, applied linear algebra, prior experience in SLAM or sensor fusion, and hands-on practice with real datasets.

Is a certificate issued after GTSAM Ceres 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.

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