- Data Pipelines
- Tensorflow
- Keras (Neural Network Library)
- Cloud Deployment
- Artificial Neural Networks
- Python Programming
- Data Transformation
- Data Preprocessing
- MLOps (Machine Learning Operations)
- Google Cloud Platform
- Machine Learning
- Model Evaluation
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Lucie Cadorel
October 26, 2020
13 hours (approximately)
Lucie Cadorel'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
