- Machine Learning
- MLOps (Machine Learning Operations)
- Data Preprocessing
- Feature Engineering
- Cloud Deployment
- Python Programming
- Model Deployment
- Google Cloud Platform
- Deep Learning
- Data Pipelines
- Artificial Neural Networks
- Keras (Neural Network Library)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by WILLIAM FEY
September 22, 2020
13 hours (approximately)
WILLIAM FEY'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
