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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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Professional Training training in Tucson in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Explore the future of asynchronous communication training for distributed teams. Discover strategies, tools, and trends shaping effective collaboration across time zones by May 2026.
Don't let this gap widen
Sans maîtrise d'ElevenLabs 2026, 70% des projets IA vocale échouent en phase de production selon Gartner, entraînant des retards de 6 mois et des coûts supplémentaires de 30% sur les budgets ML.
Les entreprises perdent 25% de compétitivité face aux concurrents utilisant des voix IA réalistes pour le service client ou le marketing.
Les data scientists risquent l'obsolescence carrière, avec 40% moins d'opportunités chez les leaders tech.
Investissez dès maintenant dans cette formation avancée pour sécuriser vos déploiements MLOps et booster vos revenus IA.
The Formation ElevenLabs 2026 - Déployer voix IA en MLOps production 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 ElevenLabs 2026 - Déployer voix IA en MLOps production 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 ElevenLabs 2026 - Déployer voix IA en MLOps production 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.
Découvrez les fonctionnalités avancées d'ElevenLabs 2026 via des appels API complexes, configurez le clonage de voix personnalisées avec fine-tuning, intégrez TensorFlow pour pré-traitement audio et PyTorch pour modélisation vocale, réalisez des exercices pratiques sur datasets réels, construisez un premier pipeline MLOps automatisé, testez la latence et la qualité en temps réel, produisez des livrables audio prêts pour production enterprise.
Déployez des applications ElevenLabs 2026 en Kubernetes via MLOps, optimisez les modèles vocaux avec TensorFlow Serving et PyTorch Lightning, implémentez le monitoring des performances audio en production, analysez des cas concrets d'entreprise comme la personnalisation client, gérez les scaling horizontal et les coûts cloud, effectuez des A/B tests sur voix IA, générez des rapports de performance et des dashboards, validez les compétences via un projet final certifiant.
Target audience
Ingénieurs Machine Learning, développeurs MLOps, data scientists et chefs de projet IA en entreprise visant une montée en compétences sur la synthèse vocale professionnelle
Prerequisites
Maîtrise avancée de Python, expérience en Machine Learning avec TensorFlow ou PyTorch, utilisation d'APIs REST et pipelines CI/CD, notions de déploiement cloud
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