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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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Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover Learni's comprehensive Excel training program launching in May 2026, guiding learners from basic spreadsheets to advanced data mastery for career success.
Professional Training training in Tucson in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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 du Prompt caching 2026, les entreprises voient leurs budgets IA exploser de 50 à 70% sur les requêtes LLM récurrentes, comme le confirment les rapports Gartner 2025 sur les coûts cachés des API OpenAI.
Les latences non optimisées entraînent des pertes de productivité estimées à 2 heures par jour pour les data teams, freinant les déploiements critiques et exposant à des concurrents plus agiles.
En carrière, ignorer ces techniques limite les promotions vers des rôles seniors en IA, avec un écart salarial de 20% observé chez les experts certifiés.
Investissez dès maintenant pour sécuriser performance et compétitivité.
The Formation Prompt caching 2026 - Réduire coûts IA jusqu'à 70% 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 Prompt caching 2026 - Réduire coûts IA jusqu'à 70% 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 Prompt caching 2026 - Réduire coûts IA jusqu'à 70% 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 fondements du Prompt caching 2026 à travers des démonstrations live sur des API modernes comme OpenAI et Anthropic, implémentez des caches persistants avec Redis et Vercel AI SDK pour des workflows récurrents, réalisez des exercices pratiques sur des scénarios entreprise réels tels que chatbots scalables et analyses de données massives, mesurez les gains en latence et coûts via des dashboards intégrés, produisez des livrables concrets comme un prototype optimisé prêt à déployer en production, et bénéficiez d'un feedback personnalisé pour ancrer vos compétences professionnelles.
Target audience
Ingénieurs IA, data scientists, développeurs fullstack et chefs de projet IT en entreprise, souhaitant une montée en compétences sur l'optimisation des modèles LLM pour des applications professionnelles scalables.
Prerequisites
Connaissances solides en Prompt Engineering, utilisation d'API IA comme OpenAI GPT ou Anthropic Claude, bases en Python pour scripting et intégration d'outils comme LangChain.
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