Learn A to Z of Apache Airflow from Basic to ADVANCE level, deploy workflows & data pipelines using Airflow with Docker
InstructorA to Z Mentors
Free
The curriculum provides specific instructions for developing custom plugins, operators, sensors, and hooks.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This screenshot displays the Apache Airflow web interface, specifically the Graph View of a Directed Acyclic Graph (DAG) named store_dag.
This slide introduces the Store Sales Report project and directs students to find Airflow codes and datasets in the Resources Tab of each lecture.
This slide outlines additional course benefits, noting that student queries are answered promptly and providing access to lecture materials via a resources tab.
Instruction includes setting up Airflow via Docker, which can facilitate a functional practice environment.
Learner signals suggest the user interface shown in videos may not match current Airflow versions, and some content appears outdated for modern workflows.
One signal suggests difficulty with current Docker and Airflow installation steps due to aging content.
The course is best suited for learners who prioritize understanding the logic of custom component creation and can tolerate troubleshooting version-related discrepancies.
Score breakdown
The curriculum covers various executors and custom components, though signals suggest some content may be outdated.
Includes specific instructions for creating custom components and a dedicated sales report project.
Instructional signals are mixed; some find the structure smooth while others report confusion due to outdated content.
Multiple signals indicate the UI and installation steps may not align with current Airflow versions.
The curriculum aligns with the goals of data engineers, though versioning issues may impact suitability.