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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 New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Master influence and persuasion skills for 2026 with proven strategies, emerging tech, and practical exercises tailored for professional growth in a dynamic world.
Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Gemma 2026 - Optimizing Open-Source 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 Gemma 2026 - Optimizing Open-Source 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 Gemma 2026 - Optimizing Open-Source 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 modular architecture of Gemma 2026, set up the expert environment with Hugging Face and PyTorch, perform LoRA fine-tuning on proprietary enterprise datasets, test complex prompts to extract business insights, produce a customized model with precise evaluation metrics, practical exercises on real classification and text generation cases, obtain a deliverable ready for integration.
Build performant RAG pipelines with Gemma 2026 and Pinecone for enterprise semantic search, integrate LangChain to create collaborative AI agents, develop multi-step workflows on sensitive data, simulate business scenarios like customer predictive analysis, optimize latency with quantization, conduct A/B tests on prototypes, generate impact reports with annotated source code and Docker deployment.
Deploy Gemma 2026 in a Kubernetes cluster for enterprise scalability, configure Prometheus and Grafana for real-time monitoring, implement security guardrails against jailbreaks and biases, migrate to edge computing with TensorRT, analyze production logs on real incidents, produce a complete blueprint with CI/CD GitHub Actions, validate through final audit and maintenance plan, transform your skills into immediate business assets.
Target audience
Data scientists, ML engineers, and AI developers seeking professional skill advancement
Prerequisites
Expertise in Python, PyTorch, Transformers, and LLM fine-tuning
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