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Training LightGBM 2026 - Boost Your High-Performance ML Models

Ref: SOI730
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master LightGBM 2026 algorithms for ultra-fast predictions
  • Develop advanced model tuning skills to boost business performance
  • Implement LightGBM 2026 pipelines for real-world and large-scale datasets
  • Optimize hyperparameters using built-in tools for certified results
  • Design robust models integrating LightGBM 2026 into professional projects
  • Evaluate and deploy LightGBM solutions to enhance team competitiveness

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1LightGBM 2026 Fundamentals: Installation and First Models (Python, Tabular Datasets)

Discover rapid LightGBM 2026 installation in your Python environment via pip or conda, configure essential parameters like num_leaves and learning_rate, train your first classification model on an extended Iris dataset, analyze AUC and precision metrics with built-in visualizations, generate feature importance reports, and apply these basics to a real-world customer analysis business case for immediate skill advancement.

Module 2Tuning LightGBM 2026: Hyperparameters and Optimization (GridSearch, Optuna)

Dive into advanced LightGBM 2026 hyperparameter tuning with GridSearchCV and the Optuna library for efficient Bayesian search, test combinations on datasets like Titanic or Adult Census, measure speed and accuracy gains via cross-validation, integrate early stopping to prevent overfitting, generate detailed learning curves, and simulate business scenarios where every second counts for real-time predictions.

Module 3Advanced LightGBM 2026 Applications: Multi-Task and Feature Engineering (SHAP, Custom Loss)

Explore LightGBM 2026-specific feature engineering like automatic interactions and native categories, implement multi-task models for simultaneous regression and classification, integrate SHAP for prediction interpretability, customize loss functions for unique business cases, test on recent Kaggle datasets, create interactive dashboards with Plotly, and discuss integrations into enterprise production pipelines.

Module 4LightGBM 2026 Deployment: Scaling and Monitoring (Docker, MLflow)

Master LightGBM 2026 model deployment in Docker containers for cloud scalability, integrate MLflow for experiment tracking and versioning, set up real-time performance monitoring with Prometheus, deploy on AWS or Azure via Flask APIs, test robustness on massive data streams, generate enterprise-ready deliverables like automated scripts, and evaluate ROI impact in certified professional contexts.

Evaluation method

  • Daily interactive quizzes on LightGBM 2026 concepts
  • Final project: optimized model on real dataset with report
  • Peer-review evaluation and certified Qualiopi expert feedback

Learning method

  • Practical exercises with live coding on Jupyter Notebooks
  • Case studies from Kaggle competitions and companies
  • Individual remote tutoring for bug resolution
  • Unlimited post-training video resources and source code

Methods, materials and delivery

The Training LightGBM 2026 - Boost Your High-Performance ML Models program is delivered onsite or remote (blended-learning, e-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 LightGBM 2026 - Boost Your High-Performance ML Models 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 LightGBM 2026 - Boost Your High-Performance ML Models 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

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TomFormation AWS — Cloud Practitioner
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Léo BlanchardFormation AWS — DevOps Engineer Professional
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« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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