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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
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
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.
Discover Scikit-learn 2026 through guided installation on Jupyter Notebook, manipulate your first datasets with pandas and numpy to explore structures and descriptive statistics, create basic visualizations with matplotlib, clean real company data, and produce an initial report on data quality, all through interactive practical exercises in remote format to solidify the basics from day one.
Dive into preprocessing with Scikit-learn 2026, apply transformations like StandardScaler and MinMaxScaler on varied datasets, build your first automated pipelines to handle categorical encodings and missing value imputation, test on real e-commerce company cases, generate engineered features to boost models, and validate each step with hands-on exercises, ensuring optimal preparation of professional data.
Master supervised algorithms in Scikit-learn 2026 by implementing linear regression models to predict sales or prices, move to classification with LogisticRegression on Iris and Titanic datasets, train-optimize using train_test_split, interpret coefficients and biases, apply to real business scenarios like customer churn, and produce prediction visualizations, through practical workshops for intuitive and professional understanding.
Rigorous evaluation of your Scikit-learn 2026 models using accuracy, precision, recall, and ROC-AUC, implement K-Fold cross-validation for increased robustness, optimize hyperparameters via GridSearchCV on RandomForest and SVM, compare performances on company benchmarks, generate detailed reports with classification_report, and iterate on data-driven use cases, strengthening skills in selecting reliable models for certifiable projects.
Finalize with end-to-end Scikit-learn 2026 pipelines, integrate PyTorch and TensorFlow for simple hybridizations, save models via joblib and pickle, deploy a predictive app on Streamlit remotely, test in real company conditions, produce a complete deliverable including source code and interactive dashboard, and prepare for certification via a personal capstone project, for a smooth transition to professional MLOps practices.
The Training Scikit-learn 2026 - Mastering the Basics of Machine Learning 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.
For the smooth delivery of the Training Scikit-learn 2026 - Mastering the Basics of Machine Learning program, the following equipment is required:
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.
Assessment of skills acquired during the Training Scikit-learn 2026 - Mastering the Basics of Machine Learning program is performed through:
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.
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.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.