- Keras (Neural Network Library)
- Data Transformation
- Data Pipelines
- Machine Learning
- Deep Learning
- Python Programming
- MLOps (Machine Learning Operations)
- Model Deployment
- Data Preprocessing
- Google Cloud Platform
- Artificial Neural Networks
- Tensorflow
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Jack Adrian
December 6, 2020
13 hours (approximately)
Jack Adrian'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
