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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 Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise de Google Cloud Natural Language, 65% des données textuelles clients restent inexploitées, entraînant une perte moyenne de 25% en insights business critiques.
Les équipes passent 40% de temps supplémentaire en analyse manuelle, avec des erreurs de classification coûtant jusqu'à 500k€ annuels en décisions erronées pour une PME.
En 2026, 82% des entreprises IA leaders intègrent NLP cloud, écartant les profils non qualifiés et creusant l'écart concurrentiel.
Chaque trimestre sans compétences NLP expose à un churn client +30% dû à un manque de personnalisation.
The Formation Google Cloud Natural Language - Maîtriser le NLP pour l'analyse de données 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 Formation Google Cloud Natural Language - Maîtriser le NLP pour l'analyse de données 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 Formation Google Cloud Natural Language - Maîtriser le NLP pour l'analyse de données 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.
Activation de l'API Google Cloud Natural Language via console GCP, premiers appels en Python pour analyser sentiments sur feedbacks clients et reviews produits, extraction d'entités nommées comme personnes, lieux, organisations dans emails et documents professionnels, exercices pratiques sur datasets réels d'entreprise, génération de rapports automatisés avec visualisation interactive des résultats, mise en place d'un workflow basique pour traitement batch de textes volumineux.
Création de modèles de classification personnalisés adaptés aux besoins métier via interface GCP, analyse syntaxique et résolution de coréférences pour comprendre contextes complexes dans rapports et chats, intégration NLP dans pipelines Dataflow pour traitement stream en temps réel, développement d'applications web connectées à l'API avec Flask ou Node.js, optimisation coûts via quotas et caching, projet fil rouge finalisé avec déploiement sur Cloud Run et évaluation performances sur cas concrets d'entreprise.
Target audience
Data scientists, analystes de données, développeurs ML et chefs de projet IA en montée en compétences
Prerequisites
Connaissances en Python ou JavaScript, bases en Google Cloud Platform et APIs REST
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