Loading...
Please wait a moment
New
Loading...
Please wait a moment
Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Sep 1, 20268 min readNew York
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiDec 1, 20269 min readOklahoma CityDiscover the best warehouse management and logistics training options scheduled for March 2026, focusing on emerging trends like AI automation, sustainability, and supply chain resilience to boost your career.
Allan BusiMar 25, 202612 min readExplore the projected return on investment from no-code training programs for businesses by March 2026, including cost savings, productivity gains, and real-world case studies.
Allan BusiMar 19, 202612 min readDon't let this gap widen
Sans maîtrise de spaCy pour l’analyse automatique du langage naturel, 70 % des pipelines NLP échouent en production, générant des erreurs d’annotation qui multiplient par 3 le temps de développement.
Les entreprises perdent en moyenne 150 000 € par projet NLP mal implémenté, avec des faux positifs coûtant jusqu’à 50 000 € en pertes opérationnelles mensuelles.
Vos équipes risquent l’obsolescence compétitive, tandis que 60 % des data scientists sans expertise spaCy stagnaient dans leur carrière face à des concurrents automatisés.
Chaque mois sans compétences avancées expose votre business à des opportunités manquées et une érosion rapide de la rentabilité.
The Maîtriser spaCy pour l’Analyse Automatique du Langage Naturel : De l’Introduction à l’Implémentation training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Maîtriser spaCy pour l’Analyse Automatique du Langage Naturel : De l’Introduction à l’Implémentation training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Maîtriser spaCy pour l’Analyse Automatique du Langage Naturel : De l’Introduction à l’Implémentation training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Présentation du domaine du NLP et des cas d’usage, survol des principaux outils open-source, installation et configuration de spaCy et des modèles, parcourt des concepts clés : langage, corpus, token, types de modèles. Initiation à la structure d’un pipeline spaCy. Premières manipulations en Python.
Tokenisation avancée, gestion des phrases et segments, POS-tagging (étiquetage des catégories grammaticales), lemmatisation, arborescence syntaxique et dépendances. Cas pratique sur l’analyse de corpus réel et extraction automatisée d’informations linguistiques. Introduction à la reconnaissance d’entités nommées (NER).
Entraînement personnalisé d’un modèle NER sur son propre jeu de données, ajout de règles personnalisées avec Matcher, construction de pipelines, intégration de spaCy avec d’autres outils Python (Pandas, Scikit-learn), optimisation de la performance. Cas d’usage industriels : extraction d’informations, veille, automatisation documentaire, chatbot, etc. Bilan et perspectives, apprentissage continu.
8 participants max.
$3,630 / per person
3 journées
distancielTarget audience
Développeurs, data scientists, ingénieurs, chercheurs, ou toute personne désirant exploiter spaCy pour des projets de traitement automatique du langage naturel (NLP)
Prerequisites
Connaissances de base en Python, notions fondamentales sur le traitement du langage naturel
Loading...
Please wait a moment
Share in 2 clicks
Discover a step-by-step roadmap to become a skilled AI engineer by March 2026. From prerequisites to advanced projects, tools, and job strategies, this guide covers everything for aspiring professionals.
Allan BusiMar 7, 202612 min readSoftware Development training in Louisville in January 2025 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJan 1, 20259 min readLouisvilleexpert
€2,100.0014 hours
in-person10 pers. max.intermediate€3,150.0021 hoursremote10 pers. max.beginner€4,200.0028 hoursin-person10 pers. max.initiation€3,150.0021 hoursin-person10 pers. max.
