• Introduction to Artificial Intelligence• Evolution and Types of Artificial Intelligence• Machine Learning Fundamentals and Role of Data• Classification and Clustering Techniques• Evaluation of Machine-Learning Models• Neural Networks and Deep Learning• Computer Vision and Natural Language Processing• Fundamentals of Generative Artificial Intelligence• Large Language Models and Multimodal AI• Limitations, Responsible Use and Verification of Generative AI• Applications of AI Across Engineering Domains• Ethics, Society and The Future of AI• Foundations of Prompt Engineering• Prompting Techniques and Strategies• Task-Specific and Engineering Prompt Design• AI Tools for Engineers• Short Questions with Answers• Sample Papers• Index.
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