- Model Deployment
- Data Transformation
- Artificial Neural Networks
- MLOps (Machine Learning Operations)
- Data Preprocessing
- Machine Learning
- Model Evaluation
- Cloud Deployment
- Data Pipelines
- Feature Engineering
- Keras (Neural Network Library)
- Google Cloud Platform
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
