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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Install and configure scikit-learn in a Python environment.
- Prepare and explore datasets with integrated preprocessing.
- Train simple classification and regression models.
- Evaluate performance using metrics and ROC curves.
- Apply scikit-learn pipelines to real business cases.
- Visualize results and predictions with matplotlib.
- Optimize models using basic cross-validation.
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 mastery of scikit-learn, 70% of machine learning projects fail in the data preparation phase, wasting weeks of development and up to 50 000€ per project according to Gartner.
Your competitors are already deploying predictive models boosting their sales by 20%, while you struggle with preprocessing errors or flawed metrics.
Risk losing market share to omnipresent AI, or train to transform your datasets into immediate competitive advantages, avoiding delays and costly frustrations.
Program
Module 1Introduction to Scikit-Learn: Installation, Data, and First Models (Python Tools, Iris Dataset, Practical Exercises)
Dive into scikit-learn by installing the library via pip and conda, explore its essential modules like datasets and model_selection, manipulate the Iris dataset to clean, scale, and split your data with guided exercises, train a KNN classifier or decision tree on concrete cases, generate your first predictions and visualize results in real-time for immediate and motivating mastery.
Module 2Advanced Models, Evaluation, and Pipelines: Regression, Cross-Validation, Optimization (Business Cases, Project Deliverables)
Level up by building linear regression models on the Boston dataset, evaluate them with accuracy, precision, and MSE through interactive exercises, implement cross-validation and grid search to optimize hyperparameters, create complete pipelines to automate preprocessing and modeling on real cases like churn prediction, produce visual reports and a project deliverable ready to integrate into your professional workflows.
Evaluation method
- Continuous evaluation through practical exercises, interactive quizzes, final project with personalized feedback.
Learning method
- 80% hands-on with Jupyter Notebook, 20% applied theory, real business cases.
Methods, materials and delivery
The Scikit-Learn Initiation Training - Implement Your First ML Models 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 Scikit-Learn Initiation Training - Implement Your First 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 Scikit-Learn Initiation Training - Implement Your First 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
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 Scikit-Learn Initiation Training - Implement Your First ML Models training cost?+
The individual price is $2,940 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Scikit-Learn Initiation Training - Implement Your First ML Models 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?+
Proficiency in Python basics, familiarity with pandas and NumPy, basic knowledge of statistics.
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
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