- Google Cloud Platform
- Tensorflow
- Deep Learning
- Artificial Neural Networks
- Machine Learning
- Data Pipelines
- Cloud Computing
- Data Cleansing
- Application Programming Interface (API)
- Python Programming
- MLOps (Machine Learning Operations)
- Keras (Neural Network Library)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Satish Reddy Velagala
September 24, 2025
13 hours (approximately)
Satish Reddy Velagala'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
