- Python Programming
- Tensorflow
- Data Preprocessing
- Cloud Deployment
- Machine Learning
- Deep Learning
- Data Transformation
- Keras (Neural Network Library)
- MLOps (Machine Learning Operations)
- Model Deployment
- Google Cloud Platform
- Feature Engineering
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Fei Wu
October 24, 2021
13 hours (approximately)
Fei Wu'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
