Built for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone
← Back

Training LanceDB - Mastering Vector Search for AI

Ref: CRL482
10 people max.
From $6,431 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

Share in 2 clicks

EquansEDFPhotowattAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansEDFPhotowattAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master LanceDB architecture for professional vector databases
  • Implement optimized vector indexes with LanceDB in enterprise settings
  • Develop scalable RAG pipelines integrating LanceDB and LLMs
  • Optimize semantic search performance with LanceDB
  • Manage multimodal data in LanceDB for generative AI
  • Deploy LanceDB in production on cloud or on-premise with certification
  • Acquire skills in monitoring and scaling LanceDB

The Learni story

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

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.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1LanceDB Architecture: Installation and Vector Embeddings (Python SDK, LanceDB Core)

Dive into quick LanceDB installation via pip, set up your first professional development environment, generate embeddings with Sentence Transformers and Hugging Face, insert millions of vectors in batch to simulate real enterprise cases, test initial KNN and range search queries, produce a performance visualization dashboard to validate your practical skills from day one.

Module 2Advanced LanceDB Indexing: IVF-PQ and Optimization (ANN-tree, Scalar Quantization)

Build ultra-performant IVF-PQ indexes on massive datasets, configure ANN-tree to accelerate hybrid searches, apply scalar quantization to reduce memory by 75% without loss of precision, conduct comparative benchmarks with FAISS and Pinecone on your own enterprise data, generate optimization reports, deploy a basic RAG prototype connected to LanceDB for smooth semantic queries.

Module 3RAG Pipelines with LanceDB: LLM Integration and Reranking (LangChain, LlamaIndex)

Integrate LanceDB into complete RAG pipelines with LangChain and OpenAI GPT, implement cross-encoder reranking to boost result relevance by 40%, manage dynamic chunking of PDF and text documents, test live on concrete cases like enterprise search or internal Q&A, produce a functional MVP with latency monitoring, optimize for production-scale volumes with certification.

Module 4Multimodal Data in LanceDB: Images, Audio and Fusion (CLIP, Whisper Embeddings)

Handle multimodal embeddings with CLIP for images and Whisper for audio in LanceDB, fuse text-image vectors for advanced cross-modal searches, process real enterprise multimedia datasets, implement metadata filters to refine results, benchmark performance on standard hardware, deliver a deployment-ready multimodal thread project with optimized code and professional documentation.

Module 5LanceDB Deployment and Scaling: Cloud, Monitoring (Docker, Kubernetes, Prometheus)

Containerize LanceDB with Docker for seamless horizontal scaling, deploy on Kubernetes or AWS S3 for cloud persistence, integrate Prometheus and Grafana for real-time QPS and latency monitoring, simulate 10x traffic spikes with load testing, secure with API keys and RBAC, finalize your certifiable thread project, obtain an enterprise migration plan and post-training support for immediate production rollout.

Evaluation method

  • Advanced MCQ on LanceDB architecture and optimization
  • Practical evaluation via personalized vector benchmarks
  • Defense of the multimodal RAG thread project

Learning method

  • Courses led by an active LanceDB expert trainer
  • Practical exercises on real enterprise AI cases
  • Progressive thread project for certifiable skills
  • Complete course materials and source code provided

Methods, materials and delivery

The Training LanceDB - Mastering Vector Search for AI 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.

Equipment required

For the smooth delivery of the Training LanceDB - Mastering Vector Search for AI 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 LanceDB - Mastering Vector Search for AI 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

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.

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.

FAQ

Frequently asked questions

How much does the Training LanceDB - Mastering Vector Search for AI training cost?+
The individual price is $6,431 (USD). A detailed quote is sent within one business day.
How long is the Training LanceDB - Mastering Vector Search for AI training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced Python mastery, vector embeddings (Hugging Face), NoSQL databases and ML
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available