- Data Transformation
- Model Evaluation
- Cloud Deployment
- Data Preprocessing
- Python Programming
- Model Deployment
- Artificial Neural Networks
- Google Cloud Platform
- Keras (Neural Network Library)
- Machine Learning
- MLOps (Machine Learning Operations)
- Data Pipelines
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Prateek Duble
July 31, 2020
13 hours (approximately)
Prateek Duble'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
