- Data Cleansing
- Artificial Neural Networks
- Deep Learning
- Tensorflow
- MLOps (Machine Learning Operations)
- Data Pipelines
- Google Cloud Platform
- Keras (Neural Network Library)
- Data Transformation
- Application Programming Interface (API)
- Cloud Computing
- Machine Learning
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Rabjot Aujla
April 25, 2019
13 hours (approximately)
Rabjot Aujla'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
