- Data Pipelines
- Google Cloud Platform
- Data Processing
- Keras (Neural Network Library)
- Machine Learning
- Scalability
- Artificial Neural Networks
- Deep Learning
- Tensorflow
- MLOps (Machine Learning Operations)
- Applied Machine Learning
- Data Transformation
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Amogh Abhay Amonkar
August 23, 2020
13 hours (approximately)
Amogh Abhay Amonkar'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
