- Deep Learning
- Data Pipelines
- Google Cloud Platform
- MLOps (Machine Learning Operations)
- Feature Engineering
- Machine Learning
- Python Programming
- Model Deployment
- Keras (Neural Network Library)
- Cloud Deployment
- Model Evaluation
- Tensorflow
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Djessy Arthur Atta
December 29, 2020
13 hours (approximately)
Djessy Arthur Atta '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
