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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
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiDec 1, 20269 min readOklahoma CityArtificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJun 1, 20268 min readRaleighProfessional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiSep 1, 20268 min readNew YorkThe Training Semantic Chunking 2026 - Optimize RAG and LLM Embeddings 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 Semantic Chunking 2026 - Optimize RAG and LLM Embeddings 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 Semantic Chunking 2026 - Optimize RAG and LLM Embeddings 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 advancements of 2026 semantic chunking by installing a dedicated environment with Hugging Face and LangChain, explore cosine similarity and semantic clustering algorithms for splitting complex documents, perform practical exercises on large enterprise corpora by testing adaptive thresholds, produce your first semantically coherent chunks with LLM perplexity validation, and integrate cohesion metrics to evaluate the professional quality of your splits, transforming your RAG pipelines into performant and reliable tools.
Take it to the next level by implementing hierarchical chunking strategies with 2026 semantic chunking, use tools like LlamaIndex for dynamic semantic trees and FAISS for fast vector indexing, apply post-chunking reranking techniques on real enterprise cases such as legal or technical databases, develop custom Python scripts to merge parent-child chunks, test the impact on retrieval precision with complex queries, and generate concrete deliverables like modular production-ready pipelines, boosting the efficiency of your AI applications by an average of 40%.
Finalize your mastery by deploying RAG systems integrating 2026 semantic chunking on the cloud with Docker and Kubernetes, configure CI/CD workflows for automatic chunk updates, optimize performance through fine-tuning embeddings on custom enterprise datasets, simulate massive loads to validate scalability, integrate monitoring with Prometheus and Grafana for retrieval metrics traceability, produce a complete red thread project with certifying documentation, and leave with skills ready to transform your AI projects into profitable and innovative business solutions.
10 participants max.
$4,410 / per person
3 days
distancielTarget audience
Data scientists, AI engineers, and LLM developers in career transition or upskilling
Prerequisites
Mastery of Python, vector embeddings, RAG, and LLM frameworks like LangChain or LlamaIndex
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