- Data Pipelines
- Data Preprocessing
- Python Programming
- Model Evaluation
- Machine Learning
- Keras (Neural Network Library)
- Model Deployment
- Deep Learning
- MLOps (Machine Learning Operations)
- Google Cloud Platform
- Tensorflow
- Artificial Neural Networks
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by PIYAWASIN PIKROR-NGARN
December 22, 2024
13 hours (approximately)
PIYAWASIN PIKROR-NGARN'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
