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.
Trusted by — schools, companies and industrial groups
Learning objectives
- Understand the functioning and advantages of LightGBM compared to other boosting algorithms
- Install, configure, and use the LightGBM library in Python
- Effectively prepare datasets for LightGBM
- Explain and implement strategies for optimizing LightGBM models
- Implement classification, regression, and ranking models with LightGBM
- Interpret results and tune hyperparameters to maximize performance
- Manage overfitting, class imbalance, and explainability issues with LightGBM
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 1Introduction to LightGBM and Data Preparation
Presentation of boosting algorithms, focus on LightGBM and its architecture (leaf-wise, histogram-based learning). Installation of LightGBM. Data management, cleaning, and transformation with Pandas and NumPy: encoding categorical variables, handling missing values. First hands-on experience with LightGBM for a simple classification task.
Module 2In-Depth: Parameter Tuning and Building High-Performance Models
Detailed exploration of key LightGBM hyperparameters (num_leaves, max_depth, learning_rate, etc.), analysis of interactions and impact on performance. Automatic optimization with GridSearchCV and RandomizedSearchCV. Diagnosis of common errors, overfitting management (early stopping, regularization). Practical cases on open-source datasets.
Module 3Explainability, Interpretation, and Deployment of LightGBM Models
LightGBM model interpretation techniques (feature importances, SHAP values, partial dependence plots). Adaptation to imbalanced data challenges: weighting, sampling, stratification. Use cases in regression and ranking, customization of cost functions. Introduction to deploying LightGBM models in data pipelines, integration into production systems (Flask API, batch scoring).
Evaluation method
- Corrected case studies at the end of each module
- Final MCQ to validate learning outcomes
- Red thread project: implementation of a LightGBM model on a real dataset
Learning method
- Alternation of theory and practical case studies
- Use of Jupyter notebooks and detailed course materials
- Interactive sessions in small groups to promote hands-on practice
Methods, materials and delivery
The Master LightGBM: Complete Training for Advanced Machine Learning Modeling 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 Master LightGBM: Complete Training for Advanced Machine Learning Modeling 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 Master LightGBM: Complete Training for Advanced Machine Learning Modeling 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 Master LightGBM: Complete Training for Advanced Machine Learning Modeling training cost?+
The individual price is $2,310, and the team / on-site price is $4,043 (USD). A detailed quote is sent within one business day.
How long is the Master LightGBM: Complete Training for Advanced Machine Learning Modeling training?+
The training lasts 2 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?+
Basic knowledge of Python and supervised machine learning, familiarity with Pandas and NumPy.
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.
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