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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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Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
May 1, 20268 min readCardiff
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJun 1, 20268 min readGlasgowArtificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiOct 1, 20268 min readSan FranciscoProfessional 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 Vector Embeddings - Mastering the Basics in AI 2026 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 Vector Embeddings - Mastering the Basics in AI 2026 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 Vector Embeddings - Mastering the Basics in AI 2026 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.
Discover the essential concepts of vector embeddings by installing libraries like Sentence Transformers and OpenAI API, generate your first embeddings from texts and images, explore dimensionality reduction with PCA and t-SNE to visualize semantic similarities, apply to concrete cases like enterprise document classification, produce a ready-to-use Jupyter notebook with interactive analyses and quality metrics.
Dive into similarity calculations with cosine and Euclidean distance on vector embeddings, implement fast search indexes via FAISS for millions of vectors, test on real enterprise datasets like personalized recommendation, optimize queries for millisecond responses, develop a semantic search engine prototype, analyze performance with benchmarks and adjust hyperparameters for immediate professional results.
Integrate vector embeddings into end-to-end pipelines with vector databases like Pinecone or Weaviate, deploy a semantic Q&A application via Streamlit to demonstrate business value, manage multimodal text-image embeddings, secure enterprise data with encryption, finalize a certifying ongoing project with REST API, evaluate impact on productivity and prepare for production to transform your AI processes.
10 participants max.
$2,888 / per person
3 days
remoteTarget audience
AI developers, data analysts, ML engineers seeking to upskill on vector embeddings
Prerequisites
Python basics, notions of linear algebra and elementary machine learning
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