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 Maîtriser Prefect : Orchestration et Gestion de Workflows Python training are: Bonne maîtrise de Python, notions de base en cloud et conteneurisation (Docker), expérience en scripting ou ingestion de données. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Maîtriser Prefect : Orchestration et Gestion de Workflows Python training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Maîtriser Prefect : Orchestration et Gestion de ... | 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.

Configure your training

Response within 24hNo commitment100% free

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Maîtriser Prefect : Orchestration et Gestion de Workflows Python 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 Maîtriser Prefect : Orchestration et Gestion de Workflows Python 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 Maîtriser Prefect : Orchestration et Gestion de Workflows Python 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

Comprendre l’architecture et les concepts fondamentaux de Prefect

Savoir installer et configurer Prefect en local et dans le Cloud

Construire, tester et déployer des workflows modulaires et fiables

Superviser, déclencher, planifier et monitorer efficacement des tâches ETL/Data Pipeline

Utiliser les ressources avancées : paramètres, mapping, gestion des erreurs et des dépendances

Intégrer Prefect avec d’autres outils du data engineering (Docker, cloud providers, bases de données, API externes)

Training program

Module 1Fondamentaux de Prefect et Premiers Flows

Introduction à l’orchestration de workflow, cas d’usages, positionnement de Prefect face à Airflow et Luigi. Découverte de la terminologie : Flow, Task, State, Context. Installation locale, découverte de l’API, création de premiers flows simples, monitoring via Prefect UI. Exercices pratiques sur des workflows Python classiques.

Module 2Orchestration Avancée et Gestion des Erreurs

Planification, triggers personnalisés, mapping dynamique sur jeux de données, gestion fine des dépendances et des checkpoints. Utilisation du workflow parameterization, variables d’environnement et sécurité. Mise en œuvre de patterns de retry, gestion d’erreurs (Fail/Skip/Success), logs centralisés. Automatisation de tâches ETL réelles (import/export, transformation, data quality).

Module 3Déploiement, Intégrations et Observabilité

Déploiement de flows Prefect en production (on-premise et Prefect Cloud), setup d’agent, configuration du stockage distant (S3, GCS, Azure Blob). Introduction à la conteneurisation avec Docker, orchestration multi-cloud. Intégration à des pipelines existants (DB, API REST/SOAP, cloud provider). Best practices pour la maintenance, monitoring avancé, alerting, gestion du versioning des flows. Atelier pratique : réalisation et monitoring d’un pipeline de bout en bout.