Choose from online or onsite, instructor-led live Apache Airflow training courses that guide you through interactive, hands-on exercises to build and manage comprehensive end-to-end data pipelines.
Apache Airflow training is offered as either "online live training" or "onsite live training". Online live training, also known as "remote live training", is conducted via an interactive remote desktop environment. Onsite live training can be delivered directly at your customer premises in Durban or at NobleProg's corporate training centers located in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led, live training in Durban (online or on-site) 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.
This instructor-led live training in Durban (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 Durban (online or onsite) is designed for advanced participants seeking to build custom operators, sensors, and plugins within Apache Airflow, and integrate these components with existing data systems to achieve advanced automation and monitoring capabilities.
Upon completion of this training, participants will be able to:
Create custom operators, hooks, and sensors tailored to specific workflow requirements.
Design and implement Airflow plugins to extend system functionality.
Integrate Airflow workflows with external systems and services.
Optimise and monitor workflows using advanced debugging tools.
Apply best practices for managing large-scale Airflow deployments.
This instructor-led, live training in Durban (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.
This live, instructor-led training in Durban focuses on Apache Airflow 2.x for the design, automation, and scaling of data pipelines. Learners will gain the skills to author DAGs, integrate cloud services, and deploy observability, security, and Kubernetes-based scaling to build resilient 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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