- Data Pipelines
- Deep Learning
- Feature Engineering
- Data Preprocessing
- MLOps (Machine Learning Operations)
- Tensorflow
- Model Evaluation
- Google Cloud Platform
- Python Programming
- Machine Learning
- Cloud Deployment
- Data Transformation
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by kairav Patel
June 3, 2019
13 hours (approximately)
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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
