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Training FAISS 2026 - Optimizing Large-Scale Vector Searches

Ref: TAU190
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master the installation and advanced configuration of FAISS 2026 for professional certifying environments
  • Develop optimized vector indexes with FAISS 2026 to accelerate enterprise searches
  • Implement advanced similarity techniques via FAISS 2026 in real AI projects
  • Optimize FAISS 2026 performance to handle millions of vectors in real-time
  • Design vector search pipelines integrating FAISS 2026 with LLMs and databases
  • Evaluate and deploy FAISS 2026 solutions to boost professional deep learning skills

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • 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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1FAISS 2026 Fundamentals: Installation, Basic Indexes, and First Similarity Tests (Python, NumPy)

Discover the installation of FAISS 2026 remotely, configure your first flat and IVF indexes for fast embeddings, test k-nearest neighbors search on real datasets like MNIST, complete practical exercises to measure latency and accuracy, generate your first performance reports, integrate into Jupyter notebooks for immediate enterprise upskilling.

Module 2Advanced FAISS 2026 Indexing: HNSW, PQ, and Clustering for Scaling (GPU Support)

Dive into hierarchical HNSW and product quantization PQ indexes in FAISS 2026, apply IVFPQ clustering on millions of vectors from deep learning models, optimize parameters for speed/accuracy balance, simulate RAG use cases with OpenAI embeddings, generate recall@K metrics, export persistent indexes for professional certifying deployments.

Module 3FAISS 2026 Optimization: GPU/CPU Tuning, Batching, and Advanced Metrics (Benchmarks)

Master FAISS 2026 tuning on GPU CUDA to accelerate queries x100, implement batching and approximate search, benchmark against Annoy and Milvus on LAION datasets, analyze memory/speed trade-offs, develop auto-tuning scripts, integrate into MLflow pipelines for enterprise traceability, produce performance dashboards to demonstrate concrete ROI.

Module 4FAISS 2026 Integrations: LLMs, RAG, and Production Deployment (LangChain, Docker)

Design end-to-end RAG systems with FAISS 2026 and LangChain, integrate with LLMs like Llama for semantic search, deploy in Docker/Kubernetes containers, test scalability on AWS/GCP cloud clusters, manage dynamic index updates, complete a capstone project with certifying evaluation, receive production-ready templates for enterprise use.

Evaluation method

  • Interactive quizzes and MCQs after each module to validate learning outcomes
  • Practical projects with real datasets and peer-review in remote format
  • Final certifying case study with Qualiopi certification

Learning method

  • Active methods: 70% practice, 30% theory for optimal retention
  • Real cases from Fortune 500 companies using FAISS
  • Video replay support and unlimited asynchronous exercises
  • Individual coaching in small groups of max 10

Methods, materials and delivery

The Training FAISS 2026 - Optimizing Large-Scale Vector Searches program is delivered onsite or remote (blended-learning, e-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.

Equipment required

For the smooth delivery of the Training FAISS 2026 - Optimizing Large-Scale Vector Searches program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

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.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training FAISS 2026 - Optimizing Large-Scale Vector Searches program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

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.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

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What our learners

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« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

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.

Step 1

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.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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