San Jose - Plaza Roble Las Terrazas

Centro Corporativo Plaza Roble, San José, Costa rica

The San Jose Plaza Roble Las Terrazas Center is situated in one of six buildings connected by covered walkways that make up the secure Plaza Roble complex. With direct access to a major highway intersection, it is easy to get to downtown San Jose, 7km away, and a 15-minute drive to the international airport.

San Jose - Boulevard Dent

6184 Boulevard Dent San Jose San Pedro , San Jose, Costa rica, 11501

Create a fresh headquarters for your company in Costa Rica, featuring fully equipped office facilities at 6184 Boulevard Dent. Dive right into operations in the rapidly expanding capital, situated within the vibrant business hub of The Alameda. Benefit from convenient access to public transportation via bus and train for commuting, as well as the attractions of Downtown San Jose.

Explore Our Courses

Mastering Apache Airflow for DevOps

 21 Hours
This instructor-led, live training in San José (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 San José (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 San José (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 San José (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 San José (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 for Data Science: Automating Machine Learning Pipelines

2025-05-19 09:30
21 hours
San Jose - Plaza Roble Las Terrazas
5687 USD (Online)
6137 USD (Classroom)

Intermediate Apache Airflow: Optimizing and Scaling Workflows

2025-06-02 09:30
21 hours
San Jose - Boulevard Dent
5687 USD (Online)
6497 USD (Classroom)

Apache Airflow

2025-06-16 09:30
21 hours
San Jose - Plaza Roble Las Terrazas
5687 USD (Online)
6137 USD (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-06-30 09:30
21 hours
San Jose - Boulevard Dent
5687 USD (Online)
6497 USD (Classroom)

Mastering Apache Airflow for DevOps

2025-07-14 09:30
21 hours
San Jose - Plaza Roble Las Terrazas
5687 USD (Online)
6137 USD (Classroom)

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