Baltimore, MD – Regus at Legg Mason Tower

100 International Drive, 23rd Floor, Baltimore, United States, 21202

The venue is located on the 23rd floor of the Class‑A Legg Mason Tower in Harbor East, adjacent to Baltimore’s Inner Harbor and easily reached by car via I‑95 or I‑395, with multiple nearby parking garages and some on-site parking available. From Baltimore/Washington International Thurgood Marshall Airport (BWI), about 10 miles south, taxis or rideshares usually take 15–20 minutes via I‑95 North. Public transit is convenient with Baltimore Light Rail access at Harbor East station just a 2‑minute walk away, along with MTA buses running along Pratt Street, making the venue readily accessible without a vehicle.

Annapolis, MD – Regus at Annapolis Center

1997 Annapolis Exchange, Ste 300, Annapolis, United States, 21401

The venue is situated in the Annapolis Center on Exchange Parkway, just off Route 50 and close to US 301, with on-site and nearby garage parking available. From Baltimore/Washington International Thurgood Marshall Airport (BWI), approximately 25 miles north, taxi or rideshare typically takes 30–35 minutes heading south via MD‑70 and Route 50. Public transit users can take the B30 or Route 40 CAT shuttle to Westfield Annapolis, then transfer to local buses that stop near Annapolis Center—requiring a convenient short walk to the entrance.

Baltimore, MD – Regus at Inner Harbor Center

400 East Pratt Street Downtown, 8th Floor, Baltimore, United States, 21202

The venue is situated in the prominent Inner Harbor Center, easily reached by car via I‑95 or I‑395 with several nearby public parking garages and on-site parking available. From Baltimore/Washington International Thurgood Marshall Airport (BWI), about 10 miles south, a taxi or rideshare typically takes 15–20 minutes via I‑95 North. Public transit options include Baltimore Light Rail at Harbor East station (a two-minute walk) and multiple MTA bus routes along Pratt Street, making the venue conveniently accessible without a vehicle.

Explore Our Courses

Mastering Apache Airflow for DevOps

 21 Hours

This instructor-led, live training in Maryland (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 Maryland (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 Maryland (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 Maryland (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 Maryland (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
Baltimore, MD – Regus at Legg Mason Tower
$ 4054 (Online)
$ 4054 (Classroom)

Intermediate Apache Airflow: Optimizing and Scaling Workflows

2025-08-20 9:30 am
21 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 4054 (Online)
$ 4054 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-09-03 9:30 am
21 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 4054 (Online)
$ 4054 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-09-17 9:30 am
21 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 4054 (Online)
$ 4054 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-10-01 9:30 am
21 hours
Baltimore, MD – Regus at Legg Mason Tower
$ 4054 (Online)
$ 4054 (Classroom)

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