Deep Learning Model Construction: Ability to build, train, and optimize neural networks using Keras.
Model Evaluation and Optimization: Understanding how to evaluate model performance and improve it using various techniques.
Convolutional Neural Networks (CNNs): Proficiency in implementing CNNs for image classification tasks.
Recurrent Neural Networks (RNNs): Skills to work with RNNs for sequence data processing.

Transfer Learning: Knowledge of leveraging pre-trained models for solving real-world problems.