Beijing - Parkview Green

QiaoFu FangCaoDi , No. 9 Dongdaqiao Road, Chaoyang District, Beijing, China

Located on the west side of Dongdaqiao Road, Chaoyang District, Beijing, close to the core area of ​​Beijing CBD, with a total area of ​​200,000 square meters, it is an innovative building integrating top office buildings, fashion shopping centers, art centers and boutique hotels. Based on the rich international atmosphere and advantageous location of Fangcao Parkview Green is committed to creating a diverse business and cultural leisure complex that has become a new composite lifestyle in Beijing style and high quality. Its leading environmental design, sustainable development concept and rich and diverse artistic atmosphere constitute the unique features of Parkview Green, which brings a unique and unique experience to every visitor.

Beijing - Creative building

6/F, 15# Wanquanzhuang Str. Haidian district 6/F, Beijing, China, 100000

Creative building is located the centre of Haidian distrect. There is a direct bus to Zhong guancun and Yuanmingyuan Park. There are shoppingmalls, hosiptal and Schools. 10-15 mins from subway. We have independent office for 2 or 10 persons, and also public areas, meeting rooms ect.

New Oriental Plaza

Haidian Zhong Jie No.6, Beijing, China, 100080

New Oriental Plaza locates in the core of Zhong Guan Cun area in Beijing. The place is stationed many major educational organizations.

Beijing - Chaoyang Guomao III

15/F, 15/F China World Trade Center Tower 3, 1 Jianguomenwai Avenue, Beijing, China, 100004

The Beijing China World Trade Centre (CWTC) is in one of the most prestigious buildings in Beijing, in the middle of the central business area. Situated in CWTC Tower III, this ultra tall landmark building has 74 floors. Most of the building is taken up with offices but there is also a five-star hotel on the upper floors and retail units on the lower floors. The central business district, which is a hub for both business and culture, is home to several multinational companies working in finance, insurance, trade, telecoms and IT. Situated on the 15th floor, there are excellent views over the city from some of the centre's offices. The building's location beside East Changan Avenue is convenient for access to Tiananmen Square's government offices and to the Forbidden City, the historical home of China's emperors which is now a World Heritage Site.

Beijing Pacific Century Place

gong ren ti yu chang Bei street 2#, Beijing, China, 100027

Pacific Century Center is located in the central business district of prime locations, is favored by the major business of the popular business address. The Regus office is located on the 14th floor of this high-rise building and some rooms have views of the capital. This is an important international financial center, where many well-known domestic companies and multinational companies in information technology, consulting, telecommunications and services are located in this central business district. There are many foreign embassies nearby. You can reach museums, concert halls and theaters from the Pacific Century Center. Sanlitun bar a street is also close.

Explore Our Courses

Mastering Apache Airflow for DevOps

 21 Hours

This instructor-led, live training in Beijing (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 Beijing (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 Beijing (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 Beijing (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

Advanced Apache Airflow: Custom Operators and Plugins

2026-01-12 09:30
21 hours
New Oriental Plaza

Mastering Apache Airflow for DevOps

2026-01-26 09:30
21 hours
Beijing - Chaoyang Guomao III

Intermediate Apache Airflow: Optimizing and Scaling Workflows

2026-02-09 09:30
21 hours
Beijing Pacific Century Place

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2026-02-23 09:30
21 hours
Beijing - Parkview Green

Advanced Apache Airflow: Custom Operators and Plugins

2026-03-09 09:30
21 hours
Beijing - Creative building

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