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 Airflow - Orchestrate Your Data Pipelines Effectively training are: Python basics, SQL knowledge, and ETL concepts.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Airflow - Orchestrate Your Data Pipelines Effectively training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Airflow - Orchestrate Your Data Pipelin... | 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 Airflow - Orchestrate Your Data Pipelines Effectively 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 Airflow - Orchestrate Your Data Pipelines Effectively 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 Airflow - Orchestrate Your Data Pipelines Effectively 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 program

Module 1Airflow Introduction: Installation and Configuration (Docker, Python)

Discover Airflow through a guided Docker installation, configure the database and web interface, test your first hello world DAG with practical exercises on local environments, generate your first logs and visualize executions in real-time for immediate and motivating hands-on experience.

Module 2Key Concepts: DAGs, Operators, and Basic Tasks

Dive into Airflow foundations, create your first DAGs with BashOperator and PythonOperator, chain tasks via dependencies, simulate simple ETL flows on real datasets, debug live with the scheduler to quickly master orchestration and boost your data productivity.

Module 3Workflow Creation: Data and API Integration

Build complete pipelines with PostgresOperator and HttpOperator, integrate REST APIs and SQL databases, manage Airflow variables and connections, apply to concrete cases like customer data extraction-transformation, produce deploy-ready functional deliverables for immediate gains.

Module 4UI Interface and Monitoring: Advanced Executions

Leverage the Airflow UI to visualize graphs and logs, configure manual triggers and pooling, test retries and backfills on real scenarios, analyze performance with interactive exercises, anticipate failures for professional and serene monitoring that turns your data routines into automated successes.

Module 5Final Projects and Best Practices: Simulated Deployment

Complete a full ETL project from A to Z, apply XCom to pass data between tasks, secure with secrets backend, deploy in simulated production via Kubernetes Executor, review common errors with live demos, leave with ready-to-use templates to excel in data orchestration starting tomorrow.