Conducting training both online and onsite, our instructor-led live Apache Airflow courses utilize interactive, hands-on practice to demonstrate the construction and management of comprehensive end-to-end data pipelines.
Apache Airflow training is offered in two formats: "online live training" and "onsite live training." The online option, also referred to as "remote live training," is delivered via an interactive remote desktop. In contrast, onsite live training can be hosted directly at customer premises in Bangkok or within NobleProg corporate training centers located in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This live, instructor-led training, offered Bangkok either online or onsite, is tailored for advanced users seeking to deploy Apache Airflow in cloud settings, configure CI/CD pipelines, and establish strong monitoring and logging frameworks.
By the end of the program, learners will be able to:
Implement Apache Airflow in cloud and container-based environments.
Establish CI/CD pipelines for automated DAG testing and deployment.
Integrate monitoring and logging utilities to improve system dependability.
Optimize Airflow configurations for enhanced performance and scale.
Enforce security best practices for workflow and environment management.
This live, instructor-led training in Bangkok (online or onsite) is tailored for intermediate professionals looking to automate and manage machine learning workflows, encompassing model training, validation, and deployment through Apache Airflow.
By the end of this program, participants will be able to:
Establish Apache Airflow for the orchestration of machine learning workflows.
Automate critical tasks such as data preprocessing, model training, and validation.
Integrate Airflow with various machine learning frameworks and tools.
This instructor-led, live training in Bangkok (online or onsite) is designed for advanced participants seeking to build custom operators, sensors, and plugins within Apache Airflow. The focus is on integrating these components with existing data systems to achieve sophisticated automation and monitoring capabilities.
Upon completion, participants will be equipped to:
Build custom operators, hooks, and sensors specifically tailored for unique workflow requirements.
Architect and deploy Airflow plugins that expand core functionality.
Seamlessly connect Airflow workflows with external systems and services.
Refine and oversee workflow performance using advanced debugging utilities.
Apply best practices for overseeing large-scale Airflow deployments.
This instructor-led live training, offered in Bangkok (either online or onsite), is tailored for intermediate-level users looking to refine workflow performance, master complex dependencies, and scale Apache Airflow for enterprise-grade datasets and applications.
By the end of the session, participants will gain the ability to:
Improve the efficiency and stability of Apache Airflow workflows.
Navigate and resolve issues related to complex workflow dependencies.
Apply advanced features in Apache Airflow, including the use of custom operators and sensors.
Expand Apache Airflow capabilities to manage distributed systems and increased data loads.
Adopt industry-standard practices for monitoring, logging, and securing Airflow infrastructure.
This instructor-led live training in Bangkok focuses on Apache Airflow 2.x for constructing, automating, and scaling data pipelines. Learners will master DAG creation, cloud service integration, and the implementation of observability, security, and Kubernetes-based scaling to ensure robust production environments.
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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
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