4. What are the main pros and potential limitations of the program?

Pros:

• Comprehensive framework coverage: PyTorch, Keras, and TensorFlow.
• Strong hands-on relevance: from neural networks to deployment-ready systems.
• IBM-backed certification and project-driven learning.

Potential Limitations:

• Speed: The pace may be intense for absolute beginners, especially during transformer-heavy modules.
• Depth of Theory: Minimal focus on deep mathematical foundations—interpreting neural network internals may require supplementary learning.