🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Scikit-learn 2026 - Mastering Advanced ML Pipelines

Ref: KLW456
10 people max.
5500€ 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
5 journées
distanciel

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master the new features of Scikit-learn 2026 for efficient professional ML pipelines
  • Develop skills in hyperparameter optimization and advanced feature engineering
  • Design robust models integrating TensorFlow and PyTorch into MLOps workflows
  • Implement scalable deployments with enterprise certification focus
  • Optimize ML performance for real-world cases in professional training
  • Integrate MLOps for automated model maintenance in production

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 1Scikit-learn 2026 Preprocessing: Feature Engineering and Automated Pipelines (NumPy, Pandas)

Discover the advanced tools of Scikit-learn 2026 for cleaning and transforming complex datasets, integrating custom transformers and ColumnTransformer. Perform practical exercises on real company data, build your first reproducible pipelines, test scalers and encoders with cross-validation, and generate data quality reports for an immersive professional training experience.

Module 2Scikit-learn 2026 Supervised Models: Advanced Regression and Classification (RandomForest, XGBoost)

Dive into the enhanced estimators of Scikit-learn 2026 for accurate predictions, comparing Gradient Boosting and optimized SVM. Apply stacking and bagging techniques to concrete cases like customer churn prediction, evaluate with ROC-AUC and F1-score, fine-tune models manually during interactive workshops, and export visualizations for actionable business insights.

Module 3Scikit-learn 2026 Optimization: Hyperparameters and GridSearch (Optuna, Bayesian Optimization)

Learn to automatically tune your models with GridSearchCV and RandomizedSearchCV from Scikit-learn 2026, combined with advanced Bayesian methods. Work on large datasets to minimize computation time, analyze error surfaces, integrate custom callbacks during hands-on sessions, and produce comparison tables to select the best hyperparameters in a professional context.

Module 4Scikit-learn 2026 Integration: TensorFlow, PyTorch, and MLOps Pipelines (Kubeflow, MLflow)

Connect Scikit-learn 2026 to TensorFlow and PyTorch for powerful hybrids, using ONNX for interoperability. Deploy MLOps pipelines with experiment tracking via MLflow, test remote prediction servers, simulate cloud environments in exercises, and document workflows for smooth production deployment in enterprise-certified training.

Module 5Scikit-learn 2026 Deployment and Monitoring: MLOps in Production (Docker, FastAPI)

Finalize with deployment of Scikit-learn 2026 models via Docker and FastAPI, enabling drift monitoring with Alibi Detect. Complete a capstone project on a real business case, automate retrainings, measure live performance, generate interactive dashboards, and receive production-ready deliverables for MLOps integration in this comprehensive professional training.

Evaluation method

  • Daily interactive quizzes on Scikit-learn 2026 to validate learning outcomes
  • Final practical project with deployed ML pipeline and technical report
  • Qualiopi certified attestation recognized in companies

Learning method

  • 70% hands-on with real datasets and Scikit-learn 2026 tools
  • Case studies from leading machine learning companies
  • Unlimited post-training video support for reviews
  • Individual mentoring by certified MLOps experts

Methods, materials and delivery

The Training Scikit-learn 2026 - Mastering Advanced ML Pipelines 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 Scikit-learn 2026 - Mastering 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 2026 - Mastering 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

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

4.9 · +100 verified reviews
★★★★★

« 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
★★★★★

« 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.

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 24 h · Industry-certified · Corporate funding
WhatsApp