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Training dbt Expert - Master Advanced Data Modeling

Ref: OHG434
10 people max.
$6,300 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Design complex data models with dbt sources and exposures
  • Develop custom macros to automate transformations
  • Implement advanced tests and snapshots for reliable pipelines
  • Orchestrate dbt deployments in CI/CD with GitHub Actions
  • Optimize performance via materializations and community packages
  • Generate dynamic documentation and automated data governance
  • Integrate dbt with tools like Airflow for scalable workflows

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without expert dbt mastery, your data pipelines accumulate technical debt: modeling errors cost 25% of time in debugging, lack of tests generates data drift impacting 40% of business analyses, manual documentation slows onboarding (2 weeks loss per data engineer), SQL silos explode maintenance costs to 30k€/year in production.

  • With unoptimized queries, warehouse latencies rise 10x, blocking critical dashboards.

  • Compliance audit risks under GDPR amplified without snapshots, exposing to fines of 4% revenue.

  • Lose competitive edge against dbt-agile data teams deploying 5x faster.

  • Invest now for resilient and scalable pipelines.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Modeling: sources, exposures, dbt configs

Dive into expert modeling by configuring reliable sources, business exposures, and stratified models with dbt, complete exercises on real datasets like e-commerce, build your first data DAGs, test refs and basic macros, produce production-ready documented data schemas, gain speed with proven patterns that transform your pipelines into high-performance data factories.

Module 2Macros and Packages: custom logic, advanced dbt_utils

Master powerful macros to generate dynamic SQL, integrate packages like dbt_utils and dbt_expectations, apply them to real retail analytics cases, code your own reusable macros, optimize queries via advanced Jinja, validate with generic tests, leave with a ready-to-deploy macro kit that boosts your data productivity by 50%.

Module 3Tests and Snapshots: automated dbt data quality

Implement an exhaustive suite of tests: singular, schema, data; generate snapshots for historical audits, simulate data drift scenarios on real logs, debug with dbt debug, automate via dbt test, produce data quality reports, discover how these tools prevent 90% of production errors and make your pipelines unbreakable.

Module 4Orchestration and Deployment: CI/CD, dbt Cloud

Configure CI/CD pipelines with GitHub Actions and dbt Cloud, orchestrate jobs via dbt run and dbt deps, integrate Airflow for hybrid scheduling, deploy to Snowflake in production mode, manage dev/staging/prod environments, test zero-downtime deployments, take away a complete stack that scales your data ops without interruptions.

Module 5Optimization and Governance: performance, docs, dbt scalability

Optimize materializations and increments for ultra-fast queries, generate interactive docs with dbt docs generate, implement governance via policies and exposures, tackle a capstone project on a massive dataset, measure performance gains up to 70%, conclude with a personalized roadmap to integrate dbt into your team and dominate data challenges.

Evaluation method

  • Daily interactive quizzes, graded practical exercises, final capstone project with expert feedback, pre/post competency self-assessment.

Learning method

  • 80% hands-on approach, collaborative workshops in small groups, real-world case studies from Fortune 500 companies, personalized mentoring.

Methods, materials and delivery

The Training dbt Expert - Master Advanced Data Modeling program is delivered onsite or remote (blended-learning, e-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 dbt Expert - Master Advanced Data Modeling 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 dbt Expert - Master Advanced Data Modeling 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 eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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.

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