What is the price of the Training FAISS - Mastering Fast Vector Search training?

The price of the Training FAISS - Mastering Fast Vector Search training is 3150€ HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training FAISS - Mastering Fast Vector Search training?

The Training FAISS - Mastering Fast Vector Search training takes place over 3 journées. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training FAISS - Mastering Fast Vector Search training are: Solid knowledge in Python, NumPy, Pandas, and basics in vector embeddings as well as machine learning. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training FAISS - Mastering Fast Vector Search training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training FAISS - Mastering Fast Vector Search | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training FAISS - Mastering Fast Vector Search 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.

Teaching resources provided

To ensure the quality of the Training FAISS - Mastering Fast Vector Search training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training FAISS - Mastering Fast Vector Search training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training access terms and deadlines

Training objectives

Master FAISS indexes for professional and scalable vector searches

Develop fast similarity pipelines tailored to business needs

Configure advanced FAISS indexes like IVF and HNSW for optimal performance

Implement FAISS in RAG applications and certifying recommendation systems

Optimize computational resources with quantization and GPU in training

Deploy FAISS solutions in production for enterprise-grade skills

Training program

Module 1FAISS Fundamentals: Installation and Basic Indexes (Python, NumPy, real datasets)

Quick installation of FAISS via pip and conda, hands-on with the Python API to import vector embeddings from models like Sentence Transformers, creation of flat indexes for exhaustive searches on company datasets of 1 million vectors, practical exercises in k-NN search with L2 and IP metrics, performance comparison on concrete product recommendation cases, production of a first functional prototype with precision and recall metrics, all to build solid foundations applicable immediately in a professional context.

Module 2Advanced FAISS Indexes: IVF, HNSW and Optimizations (Quantization, GPU Acceleration)

Exploration of approximate IVF indexes to accelerate searches on billions of vectors without quality loss, IVF configuration with k-means clustering and probing, implementation of HNSW indexes for ultra-fast real-time hierarchical graphs, activation of GPU CUDA for x10 speed gains on massive datasets, optimization exercises with PQ and SQ quantization to reduce memory by 90% while maintaining accuracy, comparative tests on e-commerce and semantic search scenarios, custom benchmarks and fine-tuning for critical enterprise performance.

Module 3Practical FAISS Applications: RAG Integration, APIs and Deployment (Docker, FastAPI)

Integration of FAISS into RAG pipelines for LLMs like Llama or GPT with LangChain, building a vector search API via FastAPI for real-time queries, containerization with Docker for scalable deployment on AWS or GCP cloud, management of dynamic index updates in production without downtime, case studies on Netflix-like recommendation systems and intelligent chatbots, monitoring exercises with Prometheus and final cost optimization, delivery of a complete ready-to-use red thread project with certifying documentation for immediate enterprise deployment.

Evaluation method

Multiple-choice quiz to validate learning outcomes at the end of the training on FAISS
Continuous evaluation through practical exercises and benchmarks
Defense of the RAG red thread project with FAISS in front of the expert trainer