Training Semantic Search - Mastering Intelligent Data Search

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: CNQ199
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering semantic search, your teams lose 60% of their time on imprecise searches across massive datasets, resulting in analysis errors that cost up to 25 000€ per delayed project.

  • Companies that forgo this technology see their matching precision drop by 40%, multiplying incidents of irrelevance and productivity losses estimated at 30 hours per user monthly.

  • In 2024, 68% of data analysts without semantic skills are passed over for promotions, while your competitors leverage AI for insights 3x faster.

  • Every quarter without training widens an insurmountable competitive gap, risking obsolescence of your information systems.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,258 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
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  • Microsoft Dynamics 365
  • Salesforce
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  • SAP
  • Oracle
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  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
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  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

Semantic Search training objectives

  • Master the fundamentals of semantic search for professional applications
  • Develop skills in vectorization and embeddings to analyze textual data
  • Implement semantic search engines using open-source tools
  • Design intelligent queries tailored to business needs
  • Optimize result accuracy for certified data projects
  • Integrate semantic search into professional data workflows

Program

Semantic Search curriculum: 4 modules over 4 days

Module 1 : Fundamentals of Semantic Search: Key Concepts and Vectorization (TF-IDF, Basic Embeddings)

Discover the principles of semantic search versus traditional lexical search, dive into text vectorization with TF-IDF and initial embeddings using scikit-learn and Gensim, perform your first practical exercises on real company datasets, build a simple vector index, test cosine similarities to identify relevant content, and produce a comparative analysis report highlighting immediate precision gains for your data projects.

Module 2 : Linguistic Models for Semantic Search: Word2Vec and Introductory BERT (Hugging Face Tools)

Explore Word2Vec models to capture word contextual meaning, transition to transformers with BERT via the Hugging Face library, train embeddings on custom corpora tailored to your sector, perform semantic analogy and thematic clustering exercises, integrate these models into an intelligent search prototype, and validate results on concrete cases like internal document recommendation, demonstrating a 40% relevance increase from initial tests.

Module 3 : Implementing Semantic Search: Engines and Vector Databases (Elasticsearch, FAISS)

Set up a semantic search engine with Elasticsearch and its KNN plugins, integrate FAISS for ultra-fast searches on large volumes, develop automated indexing pipelines from raw data, test hybrid queries combining semantics and keywords, apply to an ongoing business project like an internal search engine, and optimize performance for production scaling, delivering deployable assets that transform data flows into competitive advantages.

Module 4 : Practical Semantic Search: Business Use Cases and Optimization (Evaluation, Deployment)

Apply semantic search to real-world cases like customer feedback analysis or knowledge discovery, deploy your engine on the cloud with Docker and REST API, measure precision using Recall/Precision metrics, iterate based on feedback to refine models, simulate production deployment with monitoring, and conclude with a full audit of your certifying project, proving a 50% reduction in search time for teams and immediate enhancement of professional skills.

How Semantic Search skills are assessed

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises and ongoing project
  • Oral presentation of the developed semantic search engine

How the Semantic Search course is taught

  • Courses led by a certified expert trainer in data science
  • Practical exercises on real business cases and open-source datasets
  • Progressive ongoing project for concrete business application
  • Complete course materials and digital resources provided to each participant

Semantic Search training: access and practical arrangements

The Training Semantic Search - Mastering Intelligent Data Search 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 Semantic Search - Mastering Intelligent Data Search 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 Semantic Search - Mastering Intelligent Data Search 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.

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.

Our method

How Learni guarantees the quality of your Semantic Search training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Semantic Search: frequently asked questions

Which tools are used in Semantic Search training?+
Hands-on work runs on TF-IDF, basic Embeddings, hugging Face Tools, elasticsearch, FAISS and evaluation. Those tools come from the Semantic Search program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Semantic Search training?+
They can master the fundamentals of semantic search for professional applications, develop skills in vectorization and embeddings to analyze textual data and implement semantic search engines using open-source tools. Those are the stated objectives of the Semantic Search program at Beginner level, checked by the end-of-session assessment.
What does the Semantic Search program cover, day by day?+
Day 1: Fundamentals of Semantic Search: Key Concepts and Vectorization (TF-IDF, Basic Embeddings). Day 2: Linguistic Models for Semantic Search: Word2Vec and Introductory BERT (Hugging Face Tools). Day 3: Implementing Semantic Search: Engines and Vector Databases (Elasticsearch, FAISS). Day 4: Practical Semantic Search: Business Use Cases and Optimization (Evaluation, Deployment). The Semantic Search program runs over 4 days, delivered on site.
How is Semantic Search training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises and ongoing project and oral presentation of the developed semantic search engine. Learni issues a completion certificate together with the individual assessment report at the end of the Semantic Search program, which an L&D team can file as evidence.
How much does Semantic Search training cost per participant?+
Semantic Search training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Semantic Search training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Semantic Search training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Semantic Search training?+
Basic knowledge of Python programming, elementary knowledge of databases and text processing.
Is a certificate issued after Semantic Search training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Semantic Search training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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