- Data Transformation
- Data Preprocessing
- MLOps (Machine Learning Operations)
- Cloud Deployment
- Keras (Neural Network Library)
- Machine Learning
- Artificial Neural Networks
- Google Cloud Platform
- Tensorflow
- Python Programming
- Data Pipelines
- Model Deployment
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Sheyda Masihi
March 25, 2019
13 hours (approximately)
Sheyda Masihi'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
