- To master supervised learning techniques using deep neural networks.

- To develop advanced models for complex data sets in supervised learning.

- To explore unsupervised learning methods and their applications.

- To implement clustering and dimensionality reduction in unsupervised learning.

- To analyse data patterns using advanced unsupervised algorithms.

- To optimise neural network architectures for specific tasks.

- To evaluate deep learning models for real-world problem-solving.