- Introduces CNNs for image recognition and basic RNN concepts.
- Hands-on labs allow practice with feedforward and convolutional networks.
- Explains model tuning, regularization, and callback mechanisms.
- Advanced topics like transformers and autoencoders are briefly introduced.
- Serves as a foundation for deeper study in specialized AI courses.
