- Covers model persistence (saving/loading) and deployment workflows.
- Demonstrates use of Keras models in cloud environments.
- Introduces best practices for production-ready ML pipelines.
- Emphasizes practical lab exercises with Colab and Google Cloud.
- Prepares learners for ML engineer or AI developer roles.
