AI & Machine Learning
Build and deploy machine learning models on real-world cases.
Description
Build and deploy machine learning models on real-world cases.
The course combines practical instruction, supervised workshops, and a capstone project presented at the end of the program.
Objectives
- Master Python for data
- Master supervised and unsupervised models
- Master neural networks
Prerequisites
- Basic programming or IT knowledge
- Personal computer
Program
- Python for data
- Supervised and unsupervised models
- Neural networks
- Moving to production
Upcoming sessions
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18 Nov → 9 Mar 2027 Sat, 9 am–3 pm · Lab Hammamet · Nadia Bouazizi17 seats Sign up
In the same field
Nadia Bouazizi