Delivered either online or onsite, these instructor-led live Apache Airflow training courses focus on practical, interactive exercises that demonstrate how to leverage Apache Airflow for building and managing comprehensive data pipelines from start to finish.
Apache Airflow training is offered in two formats: "online live training" or "onsite live training." Online live training, also known as "remote live training," is conducted via an interactive remote desktop. Onsite live training takes place directly at customer premises in Transylvania Central or within NobleProg’s corporate training centers located in Transylvania Central.
NobleProg -- Your Local Training Provider
Brasov, Calea Bucuresti Street
NobleProg Brasov, 13 Calea Bucuresti Street Sacele, Brasov, romania, 505600
The hotel is situated at the city entrance, being the best conference and training location in Brasov. Three conference rooms can accommodate up to 170 guests and can be modified for the company needs. These training rooms are equipped with the all necessities of a good conference or training.
Salile de training sunt situate central în Sibiu, pe principalul bulevard. Clădirea hotelului care le gazduieste este de factură clasicistă si reprezinta un punct de referinta arhitecturala a orasului.
Turnul Sfatului, Galeria de Arta Contemporana, sau parcurile Corneliu Coposu si Astra se află în imediata apropiere.
Pentru a ajunge aici de la gara, puteti merge pe jos 20min sau cu autobuzul 5 circa 10min
Locuri de parcare găsiți în parcarea supravegheata, sau pe străzile alăturate.
Cluj-Napoca, Pitești Street
NobleProg Cluj-Napoca, Strada Pitești 19, Cluj-Napoca, romania, 400124
ClujHUB has more rooms for events and training sessions, which can host from 4 to 80 people. These areas can be setup up to fit the companies need. The location is great, 10 minutes walk from the historical city center.
This instructor-led live training in Transylvania Central (online or on-site) is designed for advanced participants seeking to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement comprehensive monitoring and logging practices.
Upon completion of this training, participants will be capable of:
Deploying Apache Airflow in cloud and containerized environments.
Establishing CI/CD pipelines to automate DAG testing and deployment.
Integrating monitoring and logging tools to enhance system reliability.
Tuning Airflow configurations for improved performance and scalability.
Implementing security best practices for workflow and environment management.
This instructor-led live training in Transylvania Central (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.
This instructor-led, live training in Transylvania Central (online or on-site) targets advanced-level participants who aim to develop custom operators, sensors, and plugins in Apache Airflow, integrating them with current 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.
This instructor-led, live training in Transylvania Central (online or onsite) is tailored for intermediate-level participants aiming to optimize workflow performance, manage complex dependencies, and scale Apache Airflow deployments for larger datasets and enterprise use cases.
Upon completion of this training, participants will be able to:
Optimize Apache Airflow workflows to enhance performance and reliability.
Manage and troubleshoot complex workflow dependencies.
Leverage advanced Airflow features, such as custom operators and sensors.
Scale Apache Airflow to handle larger data sets and distributed systems.
Implement best practices for monitoring, logging, and security in Airflow environments.
This live, instructor-led training in Transylvania Central focuses on Apache Airflow 2.x for the development, automation, and scaling of data pipelines. Learners will gain the skills to design DAGs, integrate cloud services, and deploy observability, security, and Kubernetes-based scaling solutions 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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