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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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Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Oct 1, 20268 min readMemphis
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJun 1, 20268 min readGlasgowProfessional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJul 1, 20268 min readDallasArtificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiMay 1, 20268 min readCardiffDon't let this gap widen
Sans maîtrise LoRA fine-tuning 2026, 75% des projets IoT edge voient leurs coûts exploser de 40% en raison de modèles IA surdimensionnés et lents, entraînant retards déploiement jusqu'à 6 mois selon Gartner 2025.
Les entreprises perdent 20% compétitivité face concurrents optimisés, avec risques fuites données capteurs non sécurisés impactant conformité et amendes RGPD.
Carrières stagnent : ingénieurs non formés LoRA risquent obsolescence face IA embarquée omniprésente.
Investissez dès maintenant en formation professionnelle certifiante pour sécuriser avancées technologiques et booster performances.
The Formation LoRA fine-tuning 2026 - Optimiser IA edge pour IoT 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 LoRA fine-tuning 2026 - Optimiser IA edge pour IoT 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 LoRA fine-tuning 2026 - Optimiser IA edge pour IoT 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 bases de LoRA fine-tuning 2026 à travers une immersion pratique en Python et PyTorch, configurez votre environnement avec Hugging Face Transformers pour charger modèles pré-entraînés adaptés IoT, testez sur datasets capteurs réels comme vibrations industrielles ou données environnementales LoRaWAN, réalisez vos premiers fine-tunings supervisés avec exercices guidés, analysez métriques précision/rappel en temps réel, produisez rapports initiaux de performance pour valider acquis professionnels.
Plongez dans déploiements LoRA fine-tunées sur devices edge IoT via Docker et Kubernetes, intégrez protocoles MQTT-LoRa pour flux données temps réel, optimisez hyperparamètres LoRA avec outils comme PEFT pour réduire empreinte mémoire jusqu'à 90%, simulez cas concrets industrie 4.0 sur capteurs connectés, déployez pipelines CI/CD adaptés entreprise, évaluez robustesse modèles via stress-tests, générez livrables déployables incluant APIs sécurisées et dashboards monitoring pour ROI immédiat.
10 participants max.
$2,420 / per person
2 days
distancielTarget audience
Ingénieurs IoT, data scientists embarqués, développeurs ML en entreprise souhaitant monter en compétences sur l'IA optimisée
Prerequisites
Bases solides en Python, machine learning introductif, protocoles IoT comme MQTT et LoRa
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Novice
€4,200.004 journées
distanciel10 pers. max.Expert€4,200.004 journéesdistanciel10 pers. max.Novice€1,050.001 journéedistanciel10 pers. max.Avancée€3,150.003 journéesdistanciel10 pers. max.
