Santiago - El Golf

Avenida Apoquindo 3600, Piso 5, Santiago, Chile, 7550108

The Center occupies the fifth and ninth floors of a modern office block with an attractive, spacious reception area. It has its own secure underground parking and is protected by 24-hour CCTV. It is just a few minutes' walk from an underground railway station. Arturo Meriono Benitez International Airport is 26km away.

Santiago - Vitacura

Avenida Vitacura 2670, Floor 15, Santiago, Chile, 7550698

The Santiago Vitacura Center is located on the 15th floor of one of the newest high-rise buildings in the city, situated near El Bosque, an attractive business and residential district, and adjacent to the Santiago World Trade Center. The Center has its own on-site coffee bar and secure underground parking. There are good public transport connections, and the international airport is 40 minutes away.

Explore Our Courses

Mastering Apache Airflow for DevOps

 21 Hours
This instructor-led, live training in Santiago (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 Santiago (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 Santiago (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 Santiago (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 Santiago (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

2025-05-26 09:30
21 hours
Santiago - El Golf
UF 142,18 (Online)
UF 427,18 (Classroom)

Mastering Apache Airflow for DevOps

2025-06-09 09:30
21 hours
Santiago - Vitacura
UF 142,18 (Online)
UF 487,18 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-06-23 09:30
21 hours
Santiago - El Golf
UF 142,18 (Online)
UF 427,18 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-07-07 09:30
21 hours
Santiago - Vitacura
UF 142,18 (Online)
UF 487,18 (Classroom)

Advanced Apache Airflow: Custom Operators and Plugins

2025-07-21 09:30
21 hours
Santiago - El Golf
UF 142,18 (Online)
UF 427,18 (Classroom)

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