- Python Programming
- Cloud Computing
- Data Cleansing
- Deep Learning
- Machine Learning
- Google Cloud Platform
- Artificial Neural Networks
- Tensorflow
- Application Programming Interface (API)
- Keras (Neural Network Library)
- MLOps (Machine Learning Operations)
- Data Pipelines
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Jose Andres SANCHEZ SANCHEZ
April 9, 2024
13 hours (approximately)
Jose Andres SANCHEZ SANCHEZ'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
