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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.
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Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Oct 1, 20268 min readSan Francisco
Explore the evolving role of artificial intelligence in crafting tailored educational journeys, with projections for groundbreaking advancements by April 2026.
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Allan BusiApr 19, 202612 min readDon't let this gap widen
Sans maîtrise de la modélisation thématique et du traitement du langage naturel, 65 % des projets NLP produisent des analyses biaisées ou inutiles, gaspillant en moyenne 200 heures par initiative.
Une entreprise perd ainsi 120 000 € annuels en ressources inefficaces et retards, avec 40 % des data scientists confrontés à des échecs récurrents.
Cette lacune expose à une perte de 30 % de compétitivité en IA, menaçant postes et croissance business.
Chaque trimestre sans expertise approfondie amplifie les risques d'obsolescence face aux concurrents agiles.
The Gensim : Maîtriser la Modélisation de Thèmes et le Traitement du Langage 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 Gensim : Maîtriser la Modélisation de Thèmes et le Traitement du Langage 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 Gensim : Maîtriser la Modélisation de Thèmes et le Traitement du Langage 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 NLP, panorama des méthodes de modélisation thématique, installation de Gensim, première exploration de la bibliothèque. Prétraitement de texte : nettoyage, tokenisation, élimination des stop-words, lemmatisation. Création de corpus et dictionnaires adaptés aux modèles Gensim.
Définition et implémentation des modèles LDA et LSI. Paramétrage, entraînement et évaluation des modèles. Extraction et interprétation des thèmes. Visualisation interactive avec pyLDAvis. Personnalisation des corpus et tuning des hyperparamètres. Études de cas réels.
Compréhension des word embeddings et des modèles Word2Vec dans Gensim. Entraînement et usage des vecteurs sémantiques. Similarité de textes, utilisation avancée des modèles, intégration de Gensim avec Pandas et scikit-learn. Gestion des textes volumineux et automatisation. Conseils pour déployer des solutions en production.
8 participants max.
$3,630 / per person
3 days
distancielTarget audience
Data scientists, analystes, développeurs, chercheurs ou professionnels du traitement automatique du langage naturel souhaitant appliquer des méthodes de modélisation thématique
Prerequisites
Connaissances de base en Python et notions élémentaires de traitement de texte
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Avancée
€4,200.004 journées
distanciel10 pers. max.Avancée€2,100.002 journéesdistanciel10 pers. max.Novice€2,100.002 journéesdistanciel10 pers. max.Intermédiaire€1,050.001 journéedistanciel10 pers. max.
