Seattle, WA – Regus at Smith Tower

506 Second Ave, Suite 1400, Seattle, United States, 98104

The venue is located in the historic Smith Tower building in Pioneer Square, easily accessed by car via I‑5, I‑90, or I‑405, with nearby parking garages and street parking connected to the tower. From Seattle–Tacoma International Airport (SEA), a taxi or rideshare takes approximately 25–30 minutes via I‑5 North and Airport Way. Public transit is seamless: the Pioneer Square light rail station is just a 1-minute walk, and multiple King County Metro bus routes run along 2nd Avenue—making it highly convenient for attendees arriving without a car.

Olympia, WA

415 Capitol Way N, Olympia, United States, 98501

The venue is conveniently located in downtown Olympia, with ample public parking available in nearby garages and on the street. For those arriving by air, Olympia Regional Airport (OLM) is just 5 miles away, making it an ideal option for regional travelers. Attendees can also take advantage of the city’s public transit system, as the venue is within walking distance of several Intercity Transit bus routes and easily accessible from downtown Olympia transit hubs.

Seattle, WA

808 Howell St, Seattle, United States, 98101

The venue is easily accessible by car via I‑5 and I‑90, with on-site parking available for a fee and additional public garages nearby. For those traveling by air, Seattle–Tacoma International Airport (SEA) is approximately 15 miles away and offers various transfer options to the city. Public transportation is also convenient, with Westlake Station—serviced by both bus and light rail—just a short walk away, along with access to major downtown Seattle bus lines.
NobleProg Training Place, City Seattle, WA - Regus at Seattle City

Seattle, WA - Regus at Seattle City

1420 5th Ave, Seattle, United States, 98101

The venue is conveniently located in downtown Seattle and can be easily reached by car via I‑5 and I‑90, with several public parking garages available nearby. For those arriving by air, Seattle–Tacoma International Airport (SEA) is approximately 15 miles away. The location is also well-served by public transit, just steps from major bus stops and light rail stations.

Explore Our Courses

Mastering Apache Airflow for DevOps

 21 Hours

This instructor-led, live training in Washington (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.
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Apache Airflow for Data Science: Automating Machine Learning Pipelines

 21 Hours

This instructor-led, live training in Washington (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.
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Advanced Apache Airflow: Custom Operators and Plugins

 21 Hours

This instructor-led, live training in Washington (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.
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Intermediate Apache Airflow: Optimizing and Scaling Workflows

 21 Hours

This instructor-led, live training in Washington (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.
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Apache Airflow

 21 Hours

This instructor-led, live training in Washington (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to use Apache Airflow to build and manage end-to-end data pipelines.

By the end of this training, participants will be able to:

  • Install and configure Apache Airflow.
  • Author, schedule and monitor complex data pipelines
  • Manage many ETLs (Extract, extract, Transform, Load).
  • Scale and secure Apache Airflow.
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Testimonials (1)

The ease of managing virtual machines .... very well

Luis Amigo Penaloza - Banco de Credito e Inversiones

Course - Apache Airflow

Machine Translated

Upcoming Courses

Apache Airflow

2025-08-06 9:30 am
21 hours
Seattle, WA
$ 4054 (Online)
$ 4054 (Classroom)

Intermediate Apache Airflow: Optimizing and Scaling Workflows

2025-08-20 9:30 am
21 hours
Seattle, WA
$ 4054 (Online)
$ 4054 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-09-03 9:30 am
21 hours
Seattle, WA
$ 4054 (Online)
$ 4054 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-09-17 9:30 am
21 hours
Seattle, WA
$ 4054 (Online)
$ 4054 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-10-01 9:30 am
21 hours
Seattle, WA
$ 4054 (Online)
$ 4054 (Classroom)

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