Coursera
MOOC / Non-credit
0
Orchestrating a TFX Pipeline with Airflow
About this course
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you'll learn to create your own machine learning pipelines using TensorFlow Extended (TFX) and Apache Airflow as the orchestrator.
C
67/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Create a TensorFlow Extended (TFX) pipeline in Google Cloud
- Configure Apache Airflow to orchestrate TFX components
- Execute end‑to‑end ML workflow in the GCP console
- Monitor and troubleshoot pipeline execution
Course objectives
- Set up TFX components for data preprocessing, training, and validation
- Integrate Airflow DAGs to manage pipeline scheduling
- Deploy and run the pipeline on Google Cloud services
Machine Learning
Cloud Computing
#google cloud
#machine learning
#airflow
#data engineering
#tensorflow
#tfx
#pipeline orchestration
#tensorflow extended
#apache airflow
#ml pipelines
#google cloud console
#data ingestion
#model training
#model validation
#gcp
$9.99
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