Machine Learning
Automating Retraining with Apache Airflow
This course introduces the orchestration of an automated retraining pipeline using Apache Airflow. Learners will design a workflow that integrates data processing, model training, and evaluation, ensuring that the ML model stays up-to-date. The course emphasizes real-world scheduling, error handling, and optimization of the automated tasks.
Apache Airflow
Python
4 lessons
20 practices
3 hours
Model Deployment Processes
Course details
Transform a Function into a DAG
Turn Functions into Airflow Tasks
Controlling Workflow Timing in Airflow
Adding a Third Task to Your DAG
Measuring Your Workflow Output
Build a Time Formatting Workflow
Build a Three Step Greeting Workflow
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