Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training dbt Expert - Master Advanced Data Modeling training?

The Training dbt Expert - Master Advanced Data Modeling training takes place over 35 hours. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training dbt Expert - Master Advanced Data Modeling training are: Expert SQL mastery, ELT experience with Airflow or Dagster, use of data warehouses like Snowflake, BigQuery or Postgres.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training dbt Expert - Master Advanced Data Modeling training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training dbt Expert - Master Advanced Data Modeling | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training dbt Expert - Master Advanced Data Modeling training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training dbt Expert - Master Advanced Data Modeling training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training dbt Expert - Master Advanced Data Modeling training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training 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

Training 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.