- Cloud Computing
- Deep Learning
- Application Programming Interface (API)
- Artificial Neural Networks
- Machine Learning
- Data Transformation
- Python Programming
- Google Cloud Platform
- Data Cleansing
- MLOps (Machine Learning Operations)
- Keras (Neural Network Library)
- Tensorflow
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Matteo Regazzi
January 5, 2023
13 hours (approximately)
Matteo Regazzi'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
