- Tensorflow
- Machine Learning
- Data Transformation
- Model Evaluation
- Data Preprocessing
- Model Deployment
- Artificial Neural Networks
- Google Cloud Platform
- Data Pipelines
- Deep Learning
- Cloud Deployment
- MLOps (Machine Learning Operations)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Muhammad Shah
December 28, 2020
13 hours (approximately)
Muhammad Shah'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
