- Data Pipelines
- Deep Learning
- Feature Engineering
- Data Preprocessing
- MLOps (Machine Learning Operations)
- Tensorflow
- Model Evaluation
- Google Cloud Platform
- Python Programming
- Machine Learning
- Cloud Deployment
- Data Transformation
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Carl Treichel
March 29, 2020
13 hours (approximately)
Carl Treichel's account is verified. Coursera certifies their successful completion of Build, Train and Deploy ML Models with Keras on Google Cloud
What you will learn
Design and build a TensorFlow input data pipeline.
Use the tf.data library to manipulate data in large datasets.
Use the Keras Sequential and Functional APIs for simple and advanced model creation.
Train, deploy, and productionalize ML models at scale with Vertex AI.
Skills you will gain
