- Estimated completion is around 3–5 weeks at a part-time pace.
- Weekly effort of 4–6 hours is generally sufficient for lectures and coding exercises.
- Regular practice in building and training models reinforces understanding.
- Revisiting exercises or experimenting with custom datasets may require extra time.
- Consistent engagement ensures learners develop both conceptual understanding and practical PyTorch skills.
