Designed for technical professionals and data practitioners eager to move beyond off-the-shelf APIs, this rigorous seven-week curriculum deconstructs the complete Machine Learning lifecycle. From exploratory data analysis through model training, hyperparameter tuning, and cross-validation, you build robust predictive models grounded in real enterprise data.
What you will gain
- Supervised & unsupervised algorithms
- Model evaluation, overfitting & tuning
- Full capstone project with AI HUB Certificate
Target outcomes
- Understand core machine learning algorithmic families
- Train, validate, tune, and evaluate predictive models
- Formulate business questions into machine learning formulations
- Deliver an end-to-end production-ready ML project
Prerequisites
- Foundations in programming and basic mathematics/linear algebra. Python familiarity is recommended.
Detailed Curriculum
Comprehensive 7-week deep dive into production Machine Learning:
- W1 — Mathematics, Statistics & Data Foundations.
- W2 — Introduction to Machine Learning & Problem Formulation.
- W3 — Supervised Learning: Regression & Forecasting.
- W4 — Supervised Learning: Classification & Model Evaluation.
- W5 — Unsupervised Learning: Clustering & Dimensionality Reduction.
- W6 — Association Rules & Pattern Mining.
- W7 — Capstone Assessment, Code Review & Defense.
Engineering Use Cases
End-to-end industrial applications:
- Predictive business forecasting model trained on enterprise tabular data
- Automated customer segmentation and churn prediction engine
- Full machine learning pipeline developed and defended before an expert jury
Deliverables & Transversal Modules
Deliverable: Official AI HUB Certificate + Capstone Machine Learning Project.
Transversal modules: Algorithmic Ethics & EU AI Act.
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Instructor
Abdelamine Elouafi
Machine Learning & Deep Learning Specialist
This training is designed to quickly turn understanding into execution capacity, with a clear, concrete and directly applicable format.
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Support Instructor
Otman Nouri
Data Science & MLOps Lead
This instructor participates in delivery and support to ensure personalized guidance for each student.
