ARTIFICIAL INTELLIGENCE (TRACK 2)
? 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