Training SurrealDB - Optimizing Multi-Model Databases

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: GSO746
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without advanced SurrealDB, teams waste 50% of their time on complex queries and manual scaling.

  • Legacy databases trigger 30% of downtime incidents, costing the average SME 100k€/an.

  • In 2024, 65% of recruiters reject developers without modern multi-model DB skills, blocking promotions and career switches.

  • Every quarter without SurrealDB skills leaves your company exposed to competitors 3x more agile, plus talent leaks and exploding cloud costs.

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 SurrealDB's multi-model schemas for professional applications
  • Develop advanced and optimized queries in a business context
  • Implement real-time synchronization with certified SurrealDB
  • Design scalable and secure architectures
  • Integrate SurrealDB into modern stacks for high-performance skills
  • Deploy and monitor SurrealDB clusters in production
  • Optimize performance to reduce infrastructure costs

SurrealDB curriculum: 5 modules over 5 days

Module 1 : SurrealDB Architecture: Advanced Multi-Model Modeling (schemas, graph relations, documents)

Dive into SurrealDB's hybrid architecture, model relational, document, and graph data in a single schema, configure dynamic tables with define and relate, perform exercises on business cases like a scalable social network, produce a complete schema with validations and indexes, test multi-model flexibility on your red thread project for a robust professional database.

Module 2 : SurrealDB Queries: Advanced SurrealQL (joins, aggregations, full-text search)

Master SurrealQL for complex queries, chain nested joins, window functions, and powerful aggregations, integrate full-text search with vector embeddings, practice on large enterprise datasets, optimize with explain and composite indexes, develop materialized views for real-time reporting, apply everything to your project for tenfold performance.

Module 3 : Real-Time SurrealDB: WebSockets, Live Queries, and Events (subscriptions, triggers)

Implement SurrealDB's real-time magic via live queries and subscriptions, set up WebSockets for instant updates, define advanced triggers on business events, test live with JS/Node clients, simulate concrete cases like collaborative dashboards or IoT, integrate into your red thread project for unmatched professional reactivity, measure 90% reduced latency.

Module 4 : Security and Scaling SurrealDB: ACL, Distributed Clustering (auth, RBAC, sharding)

Secure your SurrealDB instances with granular ACL, JWT, and advanced RBAC, configure multi-tenancy for enterprises, deploy distributed clusters with sharding and replication, test high availability under Kubernetes load, practice security audits on your project, optimize for horizontal scaling, produce a resilient architecture ready for critical production.

Module 5 : SurrealDB Integrations and Deployment: GraphQL APIs, Monitoring (Docker, CI/CD, observability)

Integrate SurrealDB with native GraphQL and REST endpoints, deploy in Docker/K8s with GitHub Actions CI/CD, set up Prometheus/Grafana monitoring for advanced metrics, migrate data from Postgres/Mongo, finalize your red thread project with automated backup/restore, evaluate overall performance, leave with certifiable skills to transform your enterprise stacks.

How SurrealDB skills are assessed

  • Technical MCQ on SurrealQL and advanced architecture
  • Evaluation through practical exercises and query optimization
  • Defense of the red thread SurrealDB project under real conditions

How the SurrealDB course is taught

  • Sessions led by active professional SurrealDB experts
  • Hands-on exercises on authentic business cases
  • Evolving red thread project over 5 days with continuous feedback
  • Digital learning support and unlimited resources

SurrealDB training: access and practical arrangements

The Training SurrealDB - Optimizing 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 - Optimizing 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 - Optimizing 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 schemas, graph relations, documents, joins, aggregations and full-text search. Those tools come from the SurrealDB program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after SurrealDB training?+
They can master SurrealDB's multi-model schemas for professional applications, develop advanced and optimized queries in a business context and implement real-time synchronization with certified SurrealDB. Those are the stated objectives of the SurrealDB program at Advanced level, checked by the end-of-session assessment.
What does the SurrealDB program cover, day by day?+
Day 1: SurrealDB Architecture: Advanced Multi-Model Modeling (schemas, graph relations, documents). Day 2: SurrealDB Queries: Advanced SurrealQL (joins, aggregations, full-text search). Day 3: Real-Time SurrealDB: WebSockets, Live Queries, and Events (subscriptions, triggers). Day 4: Security and Scaling SurrealDB: ACL, Distributed Clustering (auth, RBAC, sharding). Day 5: SurrealDB Integrations and Deployment: GraphQL APIs, Monitoring (Docker, CI/CD, observability). The SurrealDB program runs over 5 days, delivered on site.
How is SurrealDB training assessed?+
Assessment relies on technical MCQ on SurrealQL and advanced architecture, evaluation through practical exercises and query optimization and defense of the red thread SurrealDB project under real conditions. 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 $5,775 per participant. For an in-company team, the flat rate starts at $10,395 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?+
5 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?+
Mastery of SQL/NoSQL basics, JavaScript/Rust, and REST/GraphQL APIs.
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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