Empower your data teams with the methodologies to build reliable predictive models, while providing your executive leadership with decision-making grounded in measurable, explainable results.
Holding key positions within the industry's most innovative companies, our experts share their methodologies, successes, and challenges, providing practical insights into deploying machine learning models into production and integrating generative AI.
Adrien Morvan
Data Science Manager
Marie Crappe
Head of AI & Finance Officer
Bettina Hermant
Senior Machine Learning Engineer
Part 1 - Key Concepts in Data Science and Machine Learning
Fundamentals and Data Preparation
Understand the end-to-end process, from data collection to the interpretation of results
Explore the various types of machine learning (supervised, unsupervised, and reinforcement learning)
Master essential techniques for data cleaning and preprocessing
Assessment and Initial Models
Understand key metrics for evaluating model performance (precision, recall, F1-score)
Accelerate development using AI code copilots (GitHub Copilot, Cursor)
Share findings and key challenges encountered during data preparation
[WORKSHOP]
Hands-on Group Workshop
Participants work on a real-world dataset to perform exploratory data analysis and prepare the data for machine learning.
Part 2 - Generative AI Models, Deep Learning & Deployment into Production
Advanced Models and Generative AI
Deploy models into production and interpret their results
Identify biases, ensure explainability, and implement model monitoring
Develop a deployment roadmap approved by Data Leadership
Model Deployment and Governance
Techniques for deploying models in production and interpreting their results, including for generative AI
Discussion on model results and exploration of improvement avenues
[WORKSHOP]
Hands-on Group Workshop
Each participant designs and trains their own "Business Predictive Model" using scikit-learn, based on their proprietary data, ready to be integrated into their decision-making process.
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Data Science & Machine Learning
4.8
5 out of
658
meetings
Build reliable predictive models—from data preparation to deep learning and generative AI—and drive business value through data. 100% hands-on workshops designed for your Data and Business Analytics teams. Qualiopi-certified training eligible for OPCO funding.
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Practice with real cases from your sector and your industry
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