AI & Data Science
Courses

Explore data science workflows, machine learning preparation, and AI-powered development. Master computer vision, data preparation, and AI-assisted coding.

5
Courses
20+
Sessions
∞
Intelligence
Commencer
Défiler

Data Exploration & Preparation

Master data science workflows, from raw data acquisition to clean, ML-ready datasets

Course 1

Data Exploration & Preparation

Master data science workflows, from raw data acquisition to clean, ML-ready datasets using Python and Orange

 Course 1 bis

Data Exploration & Preparation with rakoon-ds

The same syllabus in a free, browser-based ML studio, with no install: 15 sessions, two programmes (10 h and 30 h), 15 automatically checked missions, a report that builds itself, and two real EPITA exams. Skills: no-code workflows, joins, feature engineering, temporal splits, explainability, reporting

Computer Vision

Apply computer vision to real business problems from basics to production

Course 2

Computer Vision for Business

Apply computer vision to real business problems: from foundations to production deployment with cloud APIs and custom models. Skills: PyTorch, FastAPI, CNNs, Cloud APIs, Transfer Learning, MLOps

 Course 3

Advanced Computer Vision

Deep dive into CNN architectures, feature engineering, transfer learning optimization, and production deployment with MLOps. Skills: VGG/ResNet, YOLO, Albumentations, Docker

AI Development

Leverage AI assistants to accelerate development and understand AI capabilities

Course 4

Vibe Coding with AI

Embrace AI-powered development: leverage LLM assistants to accelerate coding, automate workflows, and understand AI limitations. Skills: AI Assistants, Copilot, Claude, Testing

 Workshop

Workshop AIDD

Workshop intensif de 2 sessions (8h) pour étudiants ingénieurs : méthodologie AIDD, prompt engineering avancé, TDD avec IA, projet full-stack, tests et code review. Skills: AIDD, Next.js, Firebase, Jest, Vercel

À propos du cours

Ce que vous allez apprendre

Compétences

Concepts Clés

Data Science - Data workflows, ETL, APIs • Machine Learning - Python, Orange, ML-ready datasets • Computer Vision - CNNs, Transfer Learning, MLOps • AI Development - LLM assistants, Copilot, Claude

Contenu

Programme

4 complete courses covering: Data workflows and preparation, Computer Vision fundamentals and advanced techniques, and AI-powered development practices. 21+ sessions with hands-on practical exercises.

Objectifs

Résultats d'Apprentissage

Master data science workflows, build production-ready computer vision applications, and effectively leverage AI assistants in your development workflow.