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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.
10 spots per session maximum — 10 already taken
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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Without mastery of Apache Airflow, complex ETL workflows descend into chaos, plagued by failed DAGs and cascading errors.
Industry reports reveal that 68% of data pipeline incidents link directly to orchestration gaps, incurring average costs of $175,000 per breach in downtime, rework, and compliance fines.
Teams lose 25 productive hours weekly firefighting manual fixes, crippling project timelines and exposing companies to competitive disadvantages.
Every month without proficient orchestration, revenue leaks through delayed insights and eroded trust in data reliability.
The Training: Master Apache Airflow - Professional ETL Workflow Orchestration 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.
To ensure the quality of the Training: Master Apache Airflow - Professional ETL Workflow Orchestration training, Learni provides the following 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.
The assessment of skills acquired during the Training: Master Apache Airflow - Professional ETL Workflow Orchestration training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
History and positioning of Airflow in the data ecosystem, architecture, ETL workflows, step-by-step installation, DAG structure, starting the scheduler and webserver, first steps with the user interface.
Writing DAGs in Python, standard operators (Bash, Python, Email, etc.), hooks & sensors, dependency management, scheduling (cron/expression), passing variables, error handling, logs, effective debugging practices.
Production deployment, connecting to databases and cloud (GCP, AWS, Azure), monitoring, alerting, access management (RBAC), scaling strategies, persistence management (databases, XCom/Logs), best practices, advanced scenarios (dynamic DAGs, subDAGs, source code management with Git). Final case study and enterprise pipeline design workshop.
Target audience
Developers, Data Engineers, Analysts wishing to automate and manage complex data workflows
Prerequisites
Solid knowledge of Python programming and understanding of ETL processes
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