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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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30 free minutes with a training advisor — no commitment.
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Explore the evolving role of artificial intelligence in crafting tailored educational journeys, with projections for groundbreaking advancements by April 2026.
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Don't let this gap widen
Sans maîtrise d'AWS Polly, vos projets de synthèse vocale professionnelle s'enlisent dans des implémentations inefficaces et des voix artificielles peu engageantes.
Les entreprises perdent en moyenne 40% de leur budget TTS à cause de surcoûts d'optimisation et d'erreurs d'automatisation, avec 65% des contenus audio générant 25% d'engagement en moins.
Chaque mois sans intégration fluide expose à des incidents de production coûtant jusqu'à 8 000 €, compromettant la compétitivité et la réputation des équipes dev ou e-learning.
Les leaders du secteur avancent déjà – ne laissez pas vos projets stagner.
The Exploiter AWS Polly pour la synthèse vocale professionnelle : voix naturelles, automatisation & intégration 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 Exploiter AWS Polly pour la synthèse vocale professionnelle : voix naturelles, automatisation & intégration 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 Exploiter AWS Polly pour la synthèse vocale professionnelle : voix naturelles, automatisation & intégration 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 de la synthèse vocale, introduction aux fonctionnalités de Polly, langues et voix disponibles, prise en main de la console AWS, génération de voix simples, traitements par lots et exploration de l’interface utilisateur.
Introduction au SSML (Speech Synthesis Markup Language), réglages de la prosodie (rythme, ton, volume), prononciations personnalisées, gestion des balises audio, intégration via SDKs (Python, Node.js), automatisation de la génération audio depuis des applications externes.
Gestion des accès, sécurité et bonnes pratiques (IAM), optimisation des coûts, intégration dans des workflows (e-learning, médias, accessibilité, voicebots), automatisation, tests, gestion multi-langues et bonnes pratiques de maintien de la qualité vocale. Atelier pratique final sur un projet personnalisé.
Target audience
Développeurs, chefs de projet, professionnels de l'e-learning, communicants, éditeurs de contenu numérique
Prerequisites
Connaissance basique en programmation et compréhension de l'environnement cloud AWS
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