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.
Learning objectives
- Master advanced Scikit-learn pipelines for complex professional projects
- Develop skills in model optimisation and selection with cross-validation
- Design robust ML solutions integrated into business processes
- Implement automated feature engineering and selection strategies
- Optimise Scikit-learn model performance in production
- Integrate MLOps best practices for certification training
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: Advanced pipelines and preprocessing with Scikit-learn (ColumnTransformer, FeatureUnion)
Participants explore building complex pipelines with Scikit-learn to handle heterogeneous data. They learn to combine numerical and categorical preprocessing, manage missing values and create custom transformations. Practical exercises on real datasets enable the production of reusable and maintainable pipelines suited to professional environments.
Module 2Theme: Model optimisation and selection with Scikit-learn (GridSearch, RandomizedSearch, Bayesian)
This day is dedicated to advanced hyperparameter optimisation techniques with Scikit-learn. Learners compare GridSearchCV, RandomizedSearchCV and Bayesian approaches on concrete business cases. They measure the impact on performance and computation time while producing complete experimentation reports.
Module 3Theme: Feature engineering and automated selection with Scikit-learn (SelectFromModel, RFE)
Trainees develop advanced feature engineering strategies and variable selection with Scikit-learn. They combine statistical methods and models to reduce dimensionality while preserving performance. Practical workshops result in optimised deliverable pipelines for production projects.
Module 4Theme: Deployment and monitoring of Scikit-learn models in enterprise (joblib, MLOps)
The final day covers taking Scikit-learn models into production. Participants learn to serialise complete pipelines, create prediction APIs and implement simple monitoring. They finalise a project integrating TensorFlow, PyTorch and MLOps for a ready-to-use certified solution.
Evaluation method
- Daily MCQs and practical exercises
- Final group project with presentation
- Evaluation of technical deliverables produced
Learning method
- Guided workshops on real business cases
- Practical work in pairs with feedback
- Complete professional role-playing scenarios
- Resources and source code provided
Methods, materials and delivery
The Training Scikit-learn - Optimising your advanced ML pipelines 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 Scikit-learn - Optimising your advanced ML pipelines 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 Scikit-learn - Optimising your advanced ML pipelines 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.
Suggestions
You might
like these too.
Artificial IntelligenceIndustry-certifiedMistral AI Training - Deploy Open-Source AI in Production
$2,310Net of tax
Machine Learning & MLOpsIndustry-certifiedTraining MLflow Advanced - Master MLOps in Production
$4,620Net of tax
Artificial IntelligenceIndustry-certifiedPyTorch Training - Master Deep Learning in 5 Days
$5,775Net of tax
Web DevelopmentIndustry-certifiedTraining Mistral AI - Deploy Open-Source LLMs in Production
$2,310Net of tax
Machine Learning & MLOps
More programs in Machine Learning & MLOps.
Machine Learning & MLOpsIndustry-certifiedBabylon.js 2026 Training - Developing Immersive 3D Experiences
$5,145Net of tax
Machine Learning & MLOpsIndustry-certifiedBlender Training - Creating Professional 3D Models
$5,775Net of tax
Machine Learning & MLOpsIndustry-certifiedBlender Training - Mastering Professional 3D Modeling
$5,775Net of tax
Machine Learning & MLOpsIndustry-certifiedDetox 2026 Training - Optimising Compliant ML Pipelines
$5,775Net of tax
Machine Learning & MLOpsIndustry-certifiedFormation AEAT Modelo 200 - Optimiser fiscalité sociétés
$1,155Net of tax
Machine Learning & MLOpsIndustry-certifiedFormation ARKit 2026 - Déployer des apps AR intelligentes
$2,310Net of tax
Artificial Intelligence
More programs in Artificial Intelligence.
Artificial IntelligenceIndustry-certifiedASP.NET Expert Training - Develop Scalable and Secure Apps
$4,620Net of tax
Artificial IntelligenceIndustry-certifiedAdvanced ASP.NET Training - Develop Scalable Web Apps
$4,620Net of tax
Artificial IntelligenceIndustry-certifiedAdvanced Algolia Training - Boost Your Ultra-Fast Searches
$1,155Net of tax
Artificial IntelligenceIndustry-certifiedAdvanced Algolia Training - Optimize Ultra-Fast Searches
$3,465Net of tax
Artificial IntelligenceIndustry-certifiedAdvanced BigQuery Training - Analyze Petabytes in Real Time
$4,620Net of tax
Artificial IntelligenceIndustry-certifiedAdvanced BigQuery Training - Optimize Massive Analyses
$3,465Net of tax
Web Development
More programs in Web Development.
Web DevelopmentIndustry-certifiedAPI Security Testing with the OWASP API Security Top 10
$2,310Net of tax
Web DevelopmentIndustry-certifiedAPNs Training - Expert Scaling iOS Push Notifications
$2,310Net of tax
Web DevelopmentIndustry-certifiedASP.NET Core : Maîtriser le Développement Web Moderne
$5,775Net of tax
Web DevelopmentIndustry-certifiedATDD : Maîtriser l’Acceptance Test Driven Development en équipes agiles
$3,465Net of tax
Web DevelopmentIndustry-certifiedAWS IoT Core : Maîtrisez la gestion intelligente des objets connectés
$3,465Net of tax
Web DevelopmentIndustry-certifiedAWS Security Hub : Maîtriser la sécurité cloud avec AWS
$2,310Net of tax
Graphic Design
More programs in Graphic Design.
Graphic DesignIndustry-certifiedAdvanced DigitalOcean Training - Deploy Scalable Infrastructures
$3,465Net of tax
Graphic DesignIndustry-certifiedAdvanced Expo Training - Maximize ROI on Professional Trade Shows
$2,310Net of tax
Graphic DesignIndustry-certifiedAdvanced Mastery of Plotters for Large Format Printing: From Installation to Optimization
$3,465Net of tax
Graphic DesignIndustry-certifiedAdvanced PCI-DSS Training - Ensure Total Payment Security Compliance
$5,775Net of tax
Graphic DesignIndustry-certifiedAdvanced PCI-DSS Training - Master Expert Compliance
$5,775Net of tax
Graphic DesignIndustry-certifiedArticle 5 RGPD : Maîtriser les Principes Fondamentaux de la Protection des Données Personnelles
$1,155Net of tax
GO DEEPER
Blog articles on this topic.
Our weekly insights on the topic, by Learni experts.
FAQ
Frequently asked questions
How much does the Training Scikit-learn - Optimising your advanced ML pipelines training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training Scikit-learn - Optimising your advanced ML pipelines 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?+
Confirmed mastery of Python, practical experience with Scikit-learn and solid foundations in statistics and machine learning algorithms.
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
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
Your professional training, anywhere
Let's build
your next
program.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available