Sacramento, CA - Promenade Circle

180 Promenade Circle, Sacramento, United States, 95834

The venue is located in Natomas Crossing just north of downtown Sacramento, easily accessed by car via I‑5 or I‑80 with free on-site parking and additional municipal lots nearby. From Sacramento International Airport (SMF), a taxi or rideshare takes about 10 minutes via Airport Boulevard and I‑5 South. Public transit users can take Sacramento Regional Transit buses that stop near Promenade Circle, followed by a short walk to the glass-fronted office building.

Sunnyvale, CA - Regus - California Downtown Sunnyvale

640 W California Ave, Sunnyvale, United States, 94086

The Sunnyvale center is located one block from Caltrain rail station and provides easy access to Central Expressway and Highway 101. It is in walking distance to the city's downtown district, featuring numerous restaurants, shops, and businesses, as well as a short drive from San Jose International Airport.

San Francisco, CA - Golden Gate

75 Broadway, San Francisco , United States, 94111

With its fabulous arched windows, the 75 Broadway office, located in the heart of Jackson Square, is designed to impress. Situated at Golden Gateway Commons on the second floor of this unique campus-style building, it overlooks the green terrain's of Sydney Walton Park with the famous waterfront piers behind. This enviable location is a short walk from public transport and just blocks away from the Embarcadero and the ferry building, as well as a host of convenient amenities.

Los Angeles, CA - US Bank Tower

633 West 5th Street, Los Angeles, United States, 90071

Located in the heart of Downtown Los Angeles, in a short drive from the Union Station and few minutes away from U.S 101 & U.S.110 Highways.

San Jose, CA - Downtown

177 Park Avenue, San Jose, United States, 95113

The venue is located in the heart of Downtown San Jose at 177 Park Avenue, within a modern three-story coworking complex directly opposite Morton’s Steakhouse, and is easily reachable by car via Highways 87, 280, or US 101, with covered parking garages and street parking nearby. From Norman Y. Mineta San Jose International Airport (SJC), about 5 km away, taxis or rideshares take around 10 minutes via Airport Boulevard and Coleman Avenue. Public transit is seamless: the Convention Center VTA light rail station is two minutes’ walk, San Jose Diridon and Downtown stations are within a 10-minute walk, and multiple VTA bus routes stop nearby—ensuring easy arrival for attendees without cars.

San Diego, CA - Little Italy

1420 Kettner Boulevard, San Diego, United States, 92101

The venue sits at the heart of Little Italy on Kettner Boulevard, a vibrant, pedestrian-friendly neighborhood, accessible via I‑5, Highway 163, and I‑94, with nearby paid and surface parking. From San Diego International Airport (SAN), a taxi or rideshare takes about 10–15 minutes via North Harbor Drive and Sassafras Street. Public transit is seamless: the County Center / Little Italy Trolley station and the Santa Fe Depot are both within a few minutes’ walk, and several bus routes serve the neighborhood—making it convenient for attendees without a car.

Explore Our Courses

Mastering Apache Airflow for DevOps

 21 Hours

This instructor-led, live training in California (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 California (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 California (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 California (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: Building and Managing Data Pipelines

 21 Hours

Apache Airflow is an open source platform for authoring, scheduling, and monitoring workflows. With Airflow 2.x, organizations can orchestrate data pipelines at scale, integrate with cloud services, and ensure robust observability and security in production environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data and DevOps professionals who wish to use Apache Airflow to build, automate, and scale end-to-end data pipelines.

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

  • Install and configure Apache Airflow in different environments.
  • Author, schedule, and monitor DAGs using the TaskFlow API.
  • Integrate Airflow with data sources, cloud services, and ML workflows.
  • Manage ETL pipelines and ensure data reliability.
  • Secure and scale Airflow using executors, queues, and Kubernetes.
  • Apply observability and best practices for production deployments.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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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

Upcoming Courses

Apache Airflow: Building and Managing Data Pipelines

2026-01-06 9:30 am
21 hours
San Jose, CA - Downtown
$ 4054 (Online)
$ 5854 (Classroom)

Intermediate Apache Airflow: Optimizing and Scaling Workflows

2026-01-20 9:30 am
21 hours
San Jose, CA - Downtown
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2026-02-03 9:30 am
21 hours
San Jose, CA - Downtown
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2026-02-17 9:30 am
21 hours
San Jose, CA - Downtown
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2026-03-03 9:30 am
21 hours
San Jose, CA - Downtown
$ 4054 (Online)
$ 5854 (Classroom)

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