✅ Advanced Machine Learning: Reinforcement learning, ensemble methods, and optimization techniques
✅ Deep Learning & Neural Networks: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers
✅ Natural Language Processing (NLP): Sentiment analysis, chatbots, and language modeling
✅ Computer Vision: Image classification, object detection, and face recognition
✅ AI Model Deployment: Deploying AI models using Flask, FastAPI, or TensorFlow Serving
✅ Ethics & Bias in AI: Understanding fairness, explainability, and responsible AI development
✅ Hands-on Projects: Developing AI applications in healthcare, finance, and automation