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.
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Training: Mastering Weaviate: Harness the Power of Vector Databases for AI and Semantic Search
Learning objectives
- Understand the functioning of vector databases and the use cases of semantic search.
- Install, configure, and deploy Weaviate in different environments.
- Model schemas adapted to vector searches.
- Index data and generate embeddings.
- Develop advanced queries for semantic search and object management in Weaviate.
- Leverage Weaviate's AI modules (transformers, NLP modules, multimodal, etc.).
- Ensure integration with Python, Node.js applications or via the REST API.
- Understand the scalability, security, and maintenance of a Weaviate cluster.
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.
Program
Module 1Introduction to Weaviate and Vector Databases
Presentation of Weaviate, fundamental concepts of vector databases. Use cases: semantic search, recommendation systems, generative AI. Installation on Docker, cloud, or local. First steps with the management interface and Weaviate Console.
Module 2Data Modeling, Indexing, and Embeddings
Creating a database schema adapted to vector search: classes, properties, identifiers, and object relationships. Indexing various types of data (text, images, etc.). Using embedding modules (OpenAI, HuggingFace, etc.). Automating data ingestion and processing with Python scripts.
Module 3Advanced Queries, Integrations, and Best Practices
In-depth exploration of Weaviate's GraphQL query language. Vector search versus filtered search. Integrating Weaviate into Python, Node.js workflows via REST API. Security: authentication, access control, rights management. Performance optimization and monitoring of a Weaviate cluster.
Evaluation method
- Multiple-choice quiz at the end of the training
- Practical cases involving hands-on use of Weaviate on real scenarios (e.g., AI search engine, semantic ranking, etc.)
- Development of a mini-project running throughout the training
Learning method
- Interactive courses with live demonstrations on Weaviate
- Series of progressive practical exercises on a dedicated instance
- Provision of practical guides, documentation, and additional resources
- Technical support available throughout the training
Methods, materials and delivery
The Training: Mastering Weaviate: Harness the Power of Vector Databases for AI and Semantic 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: Mastering Weaviate: Harness the Power of Vector Databases for AI and Semantic 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: Mastering Weaviate: Harness the Power of Vector Databases for AI and Semantic 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.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training: Mastering Weaviate: Harness the Power of Vector Databases for AI and Semantic Search training cost?+
The individual price is $3,465 (USD). A detailed quote is sent within one business day.
How long is the Training: Mastering Weaviate: Harness the Power of Vector Databases for AI and Semantic Search training?+
The training lasts 3 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?+
Basic knowledge of databases, understanding of JSON, basic knowledge of Python or another backend programming language.
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.
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