- Deep Learning
- Machine Learning
- MLOps (Machine Learning Operations)
- Data Pipelines
- Data Transformation
- Data Preprocessing
- Artificial Neural Networks
- Model Deployment
- Cloud Deployment
- Model Evaluation
- Python Programming
- Feature Engineering
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Anna Mandrenko
November 4, 2019
13 hours (approximately)
Anna Mandrenko'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
