- Application Programming Interface (API)
- Data Cleansing
- Machine Learning
- Cloud Computing
- Deep Learning
- Data Pipelines
- Python Programming
- MLOps (Machine Learning Operations)
- Data Transformation
- Tensorflow
- Artificial Neural Networks
- Google Cloud Platform
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Toan Nguyen
August 31, 2018
13 hours (approximately)
Toan Nguyen'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
