Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Soham Basu
August 20, 2020
13 hours (approximately)
Soham Basu'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
- Category: Cloud Deployment
- Category: Data Pipelines
- Category: Model Deployment
- Category: Keras (Neural Network Library)
- Category: MLOps (Machine Learning Operations)
- Category: Tensorflow
- Category: Google Cloud Platform
- Category: Machine Learning
- Category: Data Transformation
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Feature Engineering
