B. Tech. CST (AI & Digital Systems) | |
Fundamentals of artificial intelligence – Understand AI principles, including intelligent agents, knowledge representation, and problem-solving techniques. Data science & big data analytics – Study data processing, statistical analysis, and visualization to extract valuable insights from large datasets. Machine learning models – Learn how to design, train, and optimize machine learning models for prediction, classification, and pattern recognition. Deep learning – Delve into neural networks and deep learning architectures for applications like image recognition, natural language processing, and predictive analytics. Natural language processing (NLP) – Understand techniques for processing and analyzing human language, powering applications like chatbots and translation. Data mining & predictive analytics – Discover how to extract patterns from data and use them to make informed predictions. Computer vision – Explore the principles of computer vision to analyze and interpret visual data in applications like autonomous vehicles and facial recognition. Big data frameworks – Gain expertise in big data tools like Hadoop, Spark, and MapReduce for managing and analyzing massive datasets. Ethics & responsible AI – Study the ethical implications of AI, focusing on issues like privacy, bias, and accountability. Capstone project – Apply AI and data science knowledge to a real-world project, solving a complex business or social problem through research, analysis, and AI techniques. The B.Tech in artificial intelligence and data science program prepares students for high-demand roles across industries such as technology, finance, healthcare, retail, and manufacturing, where AI and data insights transform business landscapes. This artificial intelligence and digital systems degree program provides the technical, analytical, and ethical foundations to succeed and innovate in this rapidly growing field. | |
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