- Machine Learning
- Cloud Deployment
- Data Pipelines
- Deep Learning
- Python Programming
- Model Evaluation
- Feature Engineering
- Tensorflow
- Model Deployment
- Google Cloud Platform
- MLOps (Machine Learning Operations)
- Data Preprocessing
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Yashi Shukla
August 18, 2020
13 hours (approximately)
Yashi Shukla'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
