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Training dbt Cloud - Architecting Multi-Cloud Data Pipelines

Ref: WGT584
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master expert dbt Cloud architecture to deploy scalable enterprise data pipelines
  • Develop complex data models with advanced macros and certified custom packages
  • Configure jobs, schedules, and dbt Cloud orchestrations for optimal professional productivity
  • Implement data quality tests and automated governance in multi-cloud environments
  • Optimize dbt Cloud performance and costs on AWS, Azure, Google Cloud with expert monitoring
  • Deploy advanced CI/CD and secure integrations to accelerate data engineering skills

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 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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1dbt Cloud Architecture: Expert Modeling and Advanced Packages (Macros, Snapshots)

Dive into expert dbt Cloud architecture through practical workshops on structuring scalable projects, configure multi-environment setups with secure variables, develop custom macros for complex transformations, integrate community packages like dbt-utils, test snapshots for data change tracking, and produce an optimized data schema deliverable for warehouses like Snowflake, strengthening your professional skills in 7 intensive hours.

Module 2dbt Cloud Modeling: Advanced Analytical Models (Incremental, Exposures)

Build expert data models in dbt Cloud with incremental materializations for massive volumes, implement exposures to link with BI tools like Tableau, analyze complex DAGs for dependencies, optimize seeds and sources with freshness checks, complete exercises on real enterprise data mart cases, generate interactive automated docs, and validate pipelines via run-results, acquiring certified skills in professional data transformation over 7 hours.

Module 3dbt Cloud Orchestration: Jobs, Schedules, and Triggers (Webhooks, API)

Master dbt Cloud orchestration by configuring multi-step jobs with granular dependencies, schedule adaptive runs via cron expressions, integrate external triggers via secure webhooks and API calls, simulate hybrid workflows with Airflow, debug runtime failures live, monitor via Slack and email alerts, deploy dev/staging/prod environments, and produce an operational jobs dashboard, boosting your enterprise data pipeline expertise over 7 practical hours.

Module 4dbt Cloud Quality and Governance: Advanced Tests and Lineage (Singular, Great Expectations)

Implement expert data governance in dbt Cloud with generic and singular tests for 100% coverage, integrate Great Expectations for schema validations, generate interactive automated data lineage, configure RBAC access policies, analyze singular tests for anomalies and outliers, audit logs and GDPR compliance, conduct a workshop on data contracts, produce a certified quality report, perfecting your professional data trust skills over 7 dedicated hours.

Module 5dbt Cloud Deployment: Multi-Cloud CI/CD and Optimizations (AWS, Azure, Google Cloud)

Finalize with expert CI/CD deployments in dbt Cloud via GitHub Actions and native dbt Cloud, integrate AWS Glue, Azure Synapse or BigQuery for hybrid cloud, optimize costs with auto-scaling and caching, monitor performance via dbt Cloud IDE and Prometheus, secure secrets with Vault, deploy a live end-to-end multi-cloud pipeline, evaluate via peer review, and receive a skills certificate with post-training resources, consolidating your professional dbt Cloud mastery in 7 impactful hours.

Evaluation method

  • Daily technical quizzes and dbt Cloud coding challenges
  • Final multi-cloud data pipeline project with peer review
  • Qualiopi-certified attestation validating expert skills

Learning method

  • 70% hands-on practice on real dbt Cloud IDE
  • Anonymized Fortune 500 enterprise case studies
  • Individual mentoring by certified dbt experts
  • Unlimited access to resources and replays for 6 months post-training

Methods, materials and delivery

The Training dbt Cloud - Architecting Multi-Cloud Data Pipelines 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 Cloud - Architecting Multi-Cloud Data Pipelines 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 Cloud - Architecting Multi-Cloud Data Pipelines 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

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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