- Data Pipelines
- Tensorflow
- MLOps (Machine Learning Operations)
- Artificial Neural Networks
- Python Programming
- Keras (Neural Network Library)
- Machine Learning
- Application Programming Interface (API)
- Data Cleansing
- Deep Learning
- Data Transformation
- Cloud Computing
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Gift Kenneth
August 29, 2021
13 hours (approximately)
Gift Kenneth'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
