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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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Explore the future of asynchronous communication training for distributed teams. Discover strategies, tools, and trends shaping effective collaboration across time zones by May 2026.
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The Training vLLM - Serving Ultra-Fast LLMs in 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 Training vLLM - Serving Ultra-Fast LLMs in 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 Training vLLM - Serving Ultra-Fast LLMs in 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.
Immersive discovery of vLLM basics with quick installation via pip or Docker on GPU environments, creation of your first inference server for models like Llama or Mistral, exploration of launch commands and unit tests on complex prompts, practical exercises to configure initial optimization parameters like tensor parallel, followed by log analysis to identify immediate speed gains, and production of a baseline performance report to take away.
Deep dive into vLLM's flagship optimizations like PagedAttention for efficient memory management, implementation of OpenAI-compatible APIs with asynchronous servers for high loads, exercises on multi-GPU scaling and monitoring with Prometheus, real enterprise chatbot application cases with actual load testing, resolution of common error scenarios, and finalization of a deployable thread project, including monitoring plan and complete documentation for immediate production deployment.
Target audience
Python developers, data engineers, beginner AI engineers wishing to upskill in professional LLM serving
Prerequisites
Solid Python foundations and introductory knowledge of large language models (LLMs)
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