Training SurrealDB - Mastering Scalable Multi-Model Databases

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: CAJ167
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 SurrealDB mastery, teams waste 50% of their time on complex queries and limited scalability.

  • Traditional databases generate 30% more incidents from missing real-time capabilities, costing e-commerce companies an average of 15k€ per month.

  • 68% of data engineers get sidelined in 2026 without modern multi-model skills, blocking promotions and business growth.

  • Every quarter without training widens the competitive gap versus innovative stacks that handle millions of transactions flawlessly.

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

40,841 programs · 25 countries

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

Every program built with a dedicated engineer

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

SurrealDB training objectives

  • Master SurrealQL for complex queries in professional training
  • Develop multi-model schemas tailored to business needs
  • Implement realtime subscriptions for production-grade applications
  • Optimize SurrealDB performance with advanced indexing and caching
  • Integrate SurrealDB into modern full-stack technology stacks
  • Deploy scalable SurrealDB clusters in production
  • Acquire career-boosting, certifiable skills

SurrealDB curriculum: 4 modules over 4 days

Module 1 : SurrealDB: Installation and Advanced Data Modeling (CLI, SurrealQL, Relational/Graph Schemas)

Quick installation of SurrealDB locally and in the cloud via CLI and Docker; creation of multi-model databases with defined schemas; hybrid document/graph data modeling for real business cases; practical exercises on SQL to SurrealQL migration; definition of tables, relationships, and permissions; production of a complete schema with validation and unit tests for a scalable ongoing project.

Module 2 : SurrealDB: Advanced Queries and Optimization (SurrealQL Joins, Indexes, Aggregations)

In-depth exploration of SurrealQL for complex joins, subqueries, and aggregations on large datasets; creation of composite and full-text indexes to boost performance; optimization of slow queries using EXPLAIN and profiling; hands-on workshops on real e-commerce datasets; refactoring queries to reduce execution time by 70%; generation of materialized views and ready-to-use analytical reports.

Module 3 : SurrealDB: Realtime and Integrations (Subscriptions, WebSockets, Driver APIs)

Configuration of LIVE subscriptions for realtime updates via WebSockets; seamless integration with JavaScript, Rust, and Go drivers in full-stack apps; development of secure APIs with JWT authentication and ACL; practical cases on chat apps and live dashboards; setup of triggers and automated events; end-to-end testing for responsiveness under load; delivery of a realtime demo connected to a modern frontend.

Module 4 : SurrealDB: Scaling, Security, and Deployment (Clusters, Backups, Monitoring)

Deployment of distributed SurrealDB clusters with replication and sharding for high availability; advanced security via roles, encryption, and audits; configuration of automated backups and disaster recovery; monitoring with Prometheus and Grafana for realtime metrics; exercises on horizontal scaling under heavy traffic; CI/CD deployment via Docker/Kubernetes; finalization of the ongoing project with production optimization and performance report.

How SurrealDB skills are assessed

  • SurrealDB knowledge validation MCQ at the end of the training
  • Continuous assessment via practical exercises and optimized queries
  • Presentation of the ongoing clustered project to the expert trainer

How the SurrealDB course is taught

  • Courses led by an active professional SurrealDB expert trainer
  • Practical exercises on real business cases and large datasets
  • Progressive ongoing project for a complete multi-model database
  • Detailed course materials and SurrealQL resources provided to each participant

SurrealDB training: access and practical arrangements

The Training SurrealDB - Mastering Scalable Multi-Model Databases 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 SurrealDB - Mastering Scalable Multi-Model Databases 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 SurrealDB - Mastering Scalable Multi-Model Databases 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 SurrealDB 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

SurrealDB: frequently asked questions

Which tools are used in SurrealDB training?+
Hands-on work runs on CLI, surrealQL, relational, graph Schemas, surrealQL Joins and indexes. Those tools come from the SurrealDB program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after SurrealDB training?+
They can master SurrealQL for complex queries in professional training, develop multi-model schemas tailored to business needs and implement realtime subscriptions for production-grade applications. Those are the stated objectives of the SurrealDB program at Intermediate level, checked by the end-of-session assessment.
What does the SurrealDB program cover, day by day?+
Day 1: SurrealDB: Installation and Advanced Data Modeling (CLI, SurrealQL, Relational/Graph Schemas). Day 2: SurrealDB: Advanced Queries and Optimization (SurrealQL Joins, Indexes, Aggregations). Day 3: SurrealDB: Realtime and Integrations (Subscriptions, WebSockets, Driver APIs). Day 4: SurrealDB: Scaling, Security, and Deployment (Clusters, Backups, Monitoring). The SurrealDB program runs over 4 days, delivered on site.
How is SurrealDB training assessed?+
Assessment relies on surrealDB knowledge validation MCQ at the end of the training, continuous assessment via practical exercises and optimized queries and presentation of the ongoing clustered project to the expert trainer. Learni issues a completion certificate together with the individual assessment report at the end of the SurrealDB program, which an L&D team can file as evidence.
How much does SurrealDB training cost per participant?+
SurrealDB 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 SurrealDB 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 SurrealDB 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 SurrealDB training?+
Knowledge of SQL/NoSQL, programming basics (JavaScript/Rust/Go), and data management.
Is a certificate issued after SurrealDB 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 SurrealDB 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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