- Tensorflow
- Artificial Neural Networks
- MLOps (Machine Learning Operations)
- Data Pipelines
- Deep Learning
- Cloud Computing
- Python Programming
- Application Programming Interface (API)
- Google Cloud Platform
- Data Transformation
- Machine Learning
- Data Cleansing
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Reeba Raza
April 18, 2020
13 hours (approximately)
Reeba Raza'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
