- The program is hands-on, with Qwiklabs for real cloud projects.
- Labs cover TensorFlow pipelines, deployment, and monitoring.
- Each module balances concepts with implementation.
- The majority of time is spent coding and experimenting.
- It’s designed for production-grade readiness, not just theory.
