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.

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 Core - Automating Professional Data Pipelines training are: Advanced proficiency in SQL, Git, data modeling, and ELT tools such as Airflow or Snowflake. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training dbt Core - Automating Professional Data Pipelines training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training dbt Core - Automating Professional Data... | 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 Core - Automating Professional Data Pipelines 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 Core - Automating Professional Data Pipelines 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 Core - Automating Professional Data Pipelines 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 objectives

Master the advanced architecture of dbt Core for professional data pipelines

Develop complex data models with macros and certified packages

Implement automated tests and data quality in enterprise settings with dbt Core

Configure CI/CD and orchestration for scalable dbt Core deployments

Optimize dbt Core performance on massive data warehouses

Integrate dbt Core into modern ELT ecosystems for expert-level skills

Training program

Module 1dbt Core Architecture: Modeling Complex Data Pipelines (sources, models, DAG)

Dive into advanced dbt Core architecture by analyzing complex DAGs on real datasets, configure YAML sources and models for optimal traceability, develop seeds and snapshots to manage data history, complete practical exercises on an enterprise capstone project, produce a production-ready modeled and documented data schema, and gain immediately applicable professional skills.

Module 2Advanced dbt Core Modeling: Macros, Packages, and Transformations (dbt_utils, exposures)

Create custom dbt Core macros to accelerate reusable SQL transformations, integrate packages like dbt_utils and dbt_expectations on real BI use cases, model exposures to link models to BI dashboards, test live on data warehouses like BigQuery or Snowflake, build a complete modular pipeline through collaborative exercises, and obtain exportable deliverables to enhance your enterprise data projects.

Module 3dbt Core Quality and Testing: Singularities, Generic Tests, and Monitoring (dbt test, freshness)

Implement comprehensive dbt Core tests with singularities, not_null, and relationships on massive volumes, automate freshness checks for reliable real-time data, configure exposure monitoring and alerts via dbt Cloud, apply to real enterprise error cases with code review, generate automated quality reports, and master practices that reduce data incidents by 70% by the end of the day.

Module 4dbt Core Deployment and Optimization: CI/CD, Performance Tuning (GitHub Actions, orchestration)

Deploy dbt Core to production via GitHub Actions CI/CD and dbt Cloud, orchestrate with Airflow for scalable pipelines, optimize SQL queries to reduce costs by up to 50%, analyze performance with dbt metrics, finalize the capstone project with live deployment and monitoring, and leave with certifiable skills ready for enterprise use to transform your data workflows starting tomorrow.