Available online or onsite, our instructor-led live Apache Airflow courses provide an interactive, hands-on experience, demonstrating how to effectively build and manage end-to-end data pipelines using Apache Airflow.
You can choose Apache Airflow training as either "online live training" or "onsite live training." Online live sessions (also known as "remote live training") are conducted through an interactive remote desktop environment. Onsite live training can take place directly at your customer premises in Copenhagen or within NobleProg's corporate training centers in Copenhagen.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This live, instructor-led session in Copenhagen (delivered online or onsite) targets advanced professionals looking to deploy Apache Airflow in cloud settings, configure CI/CD pipelines, and enforce strong monitoring and logging protocols.
By the conclusion of the course, participants will be equipped to:
Deploy Apache Airflow in cloud and containerized contexts.
Configure CI/CD pipelines for automated DAG testing and release management.
Incorporate monitoring and logging tools to bolster system dependability.
Optimize Airflow settings for superior performance and scalability.
Adopt security best practices for overseeing workflows and operational environments.
This instructor-led live training in Copenhagen (available online or onsite) is designed for intermediate-level professionals aiming to automate and oversee machine learning workflows, encompassing model training, validation, and deployment using Apache Airflow.
Upon completion of this training, participants will be equipped to:
Configure Apache Airflow for the orchestration of machine learning workflows.
Automate processes for data preprocessing, model training, and validation.
Integrate Airflow with diverse machine learning frameworks and tools.
Deploy machine learning models via automated pipelines.
Monitor and optimize machine learning workflows within production environments.
This live, instructor-led training in Copenhagen (delivered online or on-site) is designed for advanced users aiming to build custom operators, sensors, and plugins in Apache Airflow. It focuses on integrating these elements with current data systems to enable advanced automation and monitoring.
By the end of the program, participants will be able to:
Develop custom operators, hooks, and sensors tailored to specific workflow demands.
Design and implement Airflow plugins to extend core functionality.
Integrate Airflow workflows with external systems and services.
Optimize and monitor workflows using advanced debugging tools.
Utilize best practices for managing large-scale Airflow deployments.
This live, instructor-led course is conducted in Copenhagen (online or on-site) and is designed for intermediate participants seeking to refine workflow performance, navigate complex dependencies, and scale Apache Airflow deployments for enterprise applications and larger data volumes.
By the end of this program, participants will be able to:
Improve the performance and stability of Apache Airflow workflows.
Manage and debug complex workflow dependencies.
Leverage advanced features, including custom operators and sensors.
Scale Apache Airflow to handle distributed systems and large datasets.
Implement best practices for security, logging, and monitoring.
This live, instructor-led training in Copenhagen focuses on Apache Airflow 2.x for the development, automation, and scaling of data pipelines. Participants will acquire skills in creating DAGs, integrating cloud services, and applying observability, security, and Kubernetes-based scaling to ensure robust production environments.
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Testimonials (1)
The instructor adapted the training to the participants’ level and responded to all questions. He was very communicative, and it was easy to interact with him. I really appreciated the format of the training, which included many practical exercises. Overall, it was a very engaging and well-organized session.
Jacek Chlopik - ZAKLAD UBEZPIECZEN SPOLECZNYCH
Course - Apache Airflow: Building and Managing Data Pipelines
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