Online or onsite, instructor-led live Apache Airflow training courses demonstrate through interactive hands-on practice how to use Apache Airflow to build and manage end-to-end data pipelines.
Apache Airflow training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Central onsite live Apache Airflow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Frasers Tower is a 38-storey Grade A office development with a three-storey cascading retail podium strategically located at the gateway to the dynamic Central Business District.
Only U Space
10 Anson Rd, #31-06 International Plaza , Singapore 079903, Singapore, 079903
International Plaza is a 50-storey office cum residential complex situated in Singapore’s CBD. The construction was part of a grand redevelopment plan for the central area of Singapore.
The closest MRT station is Downtown (DT17) on the Downtown Line. It is about a 2–3 minute walk from Asia Square Tower 1.
Take the Downtown Line to Downtown MRT (DT17).
Use Exit G (the building's official site lists Exit G).
Walk toward Asia Square Tower 1 / 8 Marina View.
Enter Tower 1 and take the lift to Level 42 or 43
Other convenient stations:
Shenton Way (TE19) — about 2–5 min walk.
Marina Bay (NS27/CE2/TE20) — about 4–6 min walk.
Raffles Place (NS26/EW14) — about 6 min walk.
By bus
There are several nearby bus stops. The closest are around Downtown MRT / Central Boulevard and are about a 4-minute walk away. Services include 97, 106, 133, 502 and 646 at Central Blvd – Downtown Stn Exit E.
Another nearby stop is One Raffles Quay, served by buses including 10, 57, 70, 75, 100, 107, 130, 131, 162, 167, 186 and 196.
This instructor-led, live training in Central (online or onsite) is aimed at advanced-level participants who wish to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement robust monitoring and logging practices.
By the end of this training, participants will be able to:
Deploy Apache Airflow in cloud and containerized environments.
Set up CI/CD pipelines to automate DAG testing and deployment.
Integrate monitoring and logging tools to enhance system reliability.
Optimize Airflow configurations for performance and scalability.
Implement security best practices for managing workflows and environments.
This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.
By the end of this training, participants will be able to:
Set up Apache Airflow for machine learning workflow orchestration.
Automate data preprocessing, model training, and validation tasks.
Integrate Airflow with machine learning frameworks and tools.
Deploy machine learning models using automated pipelines.
Monitor and optimize machine learning workflows in production.
This instructor-led, live training in Central (online or onsite) is aimed at advanced-level participants who wish to create custom operators, sensors, and plugins in Apache Airflow, and integrate these with existing data systems for advanced automation and monitoring.
By the end of this training, participants will be able to:
Develop custom operators, hooks, and sensors tailored to specific workflows.
Design and implement Airflow plugins to extend functionality.
Integrate Airflow workflows with external systems and services.
Optimize and monitor workflows using advanced debugging tools.
Leverage best practices for managing large-scale Airflow deployments.
This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level participants who wish to optimize workflow performance, handle complex dependencies, and scale Apache Airflow deployments for larger datasets and enterprise use cases.
By the end of this training, participants will be able to:
Optimize Apache Airflow workflows for better performance and reliability.
Manage and troubleshoot complex workflow dependencies.
Leverage advanced Airflow features, including custom operators and sensors.
Scale Apache Airflow for handling larger data sets and distributed systems.
Implement best practices for monitoring, logging, and security in Airflow environments.
This instructor-led, live training in Central covers Apache Airflow 2.x for building, automating, and scaling data pipelines. Participants will learn to author DAGs, integrate cloud services, and implement observability, security, and Kubernetes-based scaling for robust production environments.
Read more...
Last Updated:
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
Online Airflow training in Central, Airflow training courses in Central, Weekend Apache Airflow courses in Central, Evening Airflow training in Central, Apache Airflow instructor-led in Central, Apache Airflow instructor in Central, Airflow instructor-led in Central, Apache Airflow private courses in Central, Weekend Apache Airflow training in Central, Airflow one on one training in Central, Evening Apache Airflow courses in Central, Airflow coaching in Central, Airflow on-site in Central, Airflow trainer in Central, Airflow boot camp in Central, Apache Airflow classes in Central, Online Airflow training in Central
