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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master vector embedding techniques applied to professional video game development
- Develop high-performance re-ranking systems for enterprise AI capabilities
- Design certifying semantic search engines for game design projects
- Implement embedding pipelines in Unreal Engine and Unity for concrete cases
- Optimize re-ranking performance in production environments
- Integrate vector embeddings into professional workflows of game studios
Our social commitment
A school kit donated to a child for every training
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
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 1Theme: Introduction to vector embeddings in game design (Unity, Unreal, datasets)
Participants discover the fundamentals of vector embeddings applied to video game development. They explore tools like Unity ML Agents and Unreal Engine plugins to generate embeddings from gameplay data. Practical exercises on concrete content recommendation cases allow for the production of initial simple models. The training emphasizes professional skills expected in the enterprise.
Module 2Theme: Advanced re-ranking with embeddings for game AI (tools, metrics)
This day deepens understanding of re-ranking algorithms applied to search systems in games. Learners use Python frameworks integrated with Unity and Unreal to train re-ranking models. Real use cases such as asset or quest prioritization are addressed. Each exercise results in a measurable deliverable optimized for production.
Module 3Theme: Embedding and re-ranking integration in Unity (pipelines, tests)
Trainees implement complete vector embedding pipelines within Unity projects. They learn to combine re-ranking with existing game design systems to enhance player experience. Practical workshops include performance evaluation on real datasets. Deliverables are functional prototypes ready for enterprise integration.
Module 4Theme: Re-ranking optimization in Unreal Engine (scalability, monitoring)
Focus on optimizing re-ranking systems within Unreal Engine for AAA projects. Participants test different embedding strategies to reduce latency and improve result relevance. Concrete exercises on complex scenes yield quantified metrics. The day strengthens certifying skills expected in the market.
Module 5Theme: Final project on embeddings and re-ranking for video games (deployment)
Learners finalize a complete project integrating vector embeddings and re-ranking in a game engine. They deploy their solution on realistic enterprise cases using Unity and Unreal Engine. Code reviews and collective optimizations validate the acquired skills. Each participant leaves with a professional deliverable and a skills certification.
Evaluation method
- Daily quizzes on vector embeddings and re-ranking concepts
- Final project evaluated by peers and trainers
- Professional skills grid completed at the end of the training
Learning method
- Practical workshops on Unity and Unreal Engine each day
- Real use cases drawn from video game studios
- Personalized feedback on re-ranking implementations
- Reusable resources and templates provided
Methods, materials and delivery
The Training Re-ranking Vector Embeddings 2026 - Optimizing AI Searches 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 Re-ranking Vector Embeddings 2026 - Optimizing AI 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 Re-ranking Vector Embeddings 2026 - Optimizing AI 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
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 Re-ranking Vector Embeddings 2026 - Optimizing AI Searches training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Re-ranking Vector Embeddings 2026 - Optimizing AI Searches 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?+
Intermediate mastery of Unity or Unreal Engine, basics in C# or C++, experience with simple search systems
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
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