- MLOps (Machine Learning Operations)
- Data Pipelines
- Feature Engineering
- Machine Learning
- Cloud Deployment
- Model Evaluation
- Keras (Neural Network Library)
- Tensorflow
- Google Cloud Platform
- Python Programming
- Deep Learning
- Artificial Neural Networks
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Dương Đông Võ TRần
April 19, 2020
13 hours (approximately)
Dương Đông Võ TRần'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
