Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Challenges of similarity search in large datasets, traditional index structures and limitations, use cases of vector search in NLP, Computer Vision, recommendation. Conceptual presentation of FAISS, installation (CPU/GPU), first manipulations, data conversion to suitable formats, vectorization with common embeddings (Word2Vec, BERT, ResNet, etc.), importing vectors into FAISS.
Index types (Flat, IVFFlat, IVFPQ, HNSW, LSH, etc.), choice based on use case and volume, creation of custom indexes, training on example data, management of vectors and metadata. Real-time index querying, similarity management (L2, cosine, inner product), notions of recall/precision for Approximate Nearest Neighbor search. Integration into a Python pipeline: query API, result retrieval, speed and precision benchmarks.
Management of distributed indexing and scaling (sharding, add/remove, multi-GPU), persistence and index save/resume. Performance optimization strategies for large volumes: compression, quantization, advanced partitioning, index hyperparameter tuning. Sector-specific practical cases (document search, image, audio), integration into microservices architectures. Performance metrics, monitoring, and final evaluation via practical project.
The Training Mastering FAISS: Vector Indexing and Similarity Search for Data Science program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
For the smooth delivery of the Training Mastering FAISS: Vector Indexing and Similarity Search for Data Science program, the following equipment is required:
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
Assessment of skills acquired during the Training Mastering FAISS: Vector Indexing and Similarity Search for Data Science program is performed through:
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certified
Bases de donnéesIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.