What I will learn?

• Foundations of Artificial Intelligence: The program begins with foundational courses covering the principles and theories of artificial intelligence. Students will learn about problem-solving methods, knowledge representation, reasoning, machine learning algorithms, and other fundamental concepts in AI.
• Machine Learning and Deep Learning: Students will delve into machine learning techniques, including supervised learning, unsupervised learning, and reinforcement learning. They will also explore deep learning architectures such as neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
• Natural Language Processing (NLP): Students will study techniques for processing and understanding human language, including text analysis, sentiment analysis, named entity recognition, part-of-speech tagging, and machine translation. They will explore NLP algorithms and models used in applications such as chatbots, language translation, and sentiment analysis.
• Computer Vision: The program covers computer vision algorithms and techniques for analyzing and interpreting visual data. Students will learn about image processing, feature extraction, object detection, image segmentation, and image classification. They will explore applications of computer vision in areas such as autonomous vehicles, medical imaging, and surveillance systems.
• Knowledge Representation and Reasoning: Students will learn how to represent and reason with knowledge in AI systems. They will explore knowledge representation languages, semantic web technologies, ontologies, and rule-based reasoning systems. They will also learn about expert systems and decision support systems.
• Ethical and Social Implications of AI: The program addresses ethical considerations and societal implications related to artificial intelligence. Students will examine issues such as bias and fairness in AI algorithms, privacy concerns, accountability, transparency, and the impact of AI on jobs and society. They will explore ethical frameworks and guidelines for AI development and deployment.
• AI Applications and Case Studies: Students will study real-world applications of artificial intelligence across various domains, including healthcare, finance, cybersecurity, robotics, gaming, and smart cities. They will analyze case studies and use cases to understand how AI technologies are being applied to solve practical problems and drive innovation.
• Big Data Analytics and AI: The program may include modules on big data analytics and AI, exploring how AI techniques can be applied to analyze and extract insights from large volumes of data. Students will learn about data preprocessing, feature engineering, and machine learning for big data analytics.