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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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Allan BusiApr 21, 202612 min readThe Training LLaMA 2026 - Deploying Powerful LLMs in the Enterprise 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 Training LLaMA 2026 - Deploying Powerful LLMs in the Enterprise 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 Training LLaMA 2026 - Deploying Powerful LLMs in the Enterprise 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.
Dive into the advanced architecture of LLaMA 2026 with hands-on experience using Hugging Face Transformers, GPU environment setup via Docker, preparation of custom business datasets, practical fine-tuning exercises with LoRA to adapt the model to specific tasks such as text generation or semantic analysis, production of a first customized model with automated evaluation metrics, while integrating best practices for professional scalability.
Build high-performance inference pipelines for LLaMA 2026 using vLLM for acceleration, application of quantization techniques to reduce latency without quality loss, integration of Retrieval-Augmented Generation with vector databases like Pinecone or FAISS, practical workshops on business cases such as intelligent chatbots or document summarization, prompt optimization to maximize accuracy, generation of real-time tested deliverables with CPU/GPU resource monitoring.
Deploy your LLaMA 2026 models in production via Kubernetes and FastAPI for scalable endpoints, securing with OAuth and safeguards against jailbreaks, setting up monitoring with Prometheus and Grafana for performance traceability, exercises on real business scenarios including A/B testing and rollback, completion of a complete red thread project with API documentation and maintenance plan, certifying validation through professional use cases.
10 participants max.
$3,780 / per person
3 days
in-personTarget audience
Data scientists, ML engineers, AI developers seeking to upskill on advanced LLMs
Prerequisites
Mastery of Python, basics in machine learning, use of transformers and PyTorch
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