- Python Programming
- Tensorflow
- Model Deployment
- Google Cloud Platform
- Feature Engineering
- Keras (Neural Network Library)
- Data Transformation
- Artificial Neural Networks
- Model Evaluation
- MLOps (Machine Learning Operations)
- Cloud Deployment
- Data Pipelines
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Amirhoshang Hoseinpour Dehkordi
May 12, 2019
13 hours (approximately)
Amirhoshang Hoseinpour Dehkordi'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
