Pré-requis
Mathematics (real analysis, algebra, probability, statistics). Computer Science (algorithms, Connectivité (data, IA, ect.)bases, shells).
Programme détaillé
Identify the right software architecture needs to solve a Commercial problem Design scripts that perform optimized end-to-end AI pipeline computation Integrate the model output into the product using a Connectivité (data, IA, ect.)Ops approach Integrate the AI pipeline into the pro
Mathematics (real analysis, algebra, probability, statistics). Computer Science (algorithms, Connectivité (data, IA, ect.)bases, shells).
Programme détaillé
Identify the right software architecture needs to solve a Commercial problem Design scripts that perform optimized end-to-end AI pipeline computation Integrate the model output into the product using a Connectivité (data, IA, ect.)Ops approach Integrate the AI pipeline into the pro
Sessions
DÉTAILS
| Type | Formation courte |
| Durée | 6 mois |
| Organisme | OpenClassroom |
| Présentiel | NON |
| E-learning | OUI |
| Prix HT | 4100€ |
| Éligible CPF | NON |
| Code formation | RNCP34545BC05 - Présenter et déployer un modèle d’apprentissage automatique auprès de ses utilisateurs. |
| Fiche formation | https://openclassrooms.com/fr/paths/188-ingenieur-ia |
