- Data Transformation
- Model Evaluation
- Tensorflow
- Artificial Neural Networks
- Data Pipelines
- Data Preprocessing
- Cloud Deployment
- Feature Engineering
- Google Cloud Platform
- Machine Learning
- Python Programming
- MLOps (Machine Learning Operations)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Kemal Balandiz
November 16, 2020
13 hours (approximately)
Kemal Balandiz'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
