Cotemporary Trends in Artificial Intelligence

    Course Code: 
    8195
    Semester: 
    7th
    Specialization Courses

    Course Content

    • Neural Networks
    • Neural Network Architectures
    • Attention and Transformers
    • Large Language Models (LLMs)
    • Productive Artificial Intelligence
    • Flow of Artificial Intelligence Application and Service Processes
    • Issues of Ethics, Bias, Discrimination, Impartiality, and Justice Interpretability
    • Security and Artificial Intelligence

    Learning Outcomes

    The course aims to familiarize students with current trends in Artificial Intelligence, through an applied approach using the Python language. The course will cover topics ranging from neural networks and their architectures to Large Language Models, Productive Artificial Intelligence, issues of production flow of AI application and service processes, issues of bias, discrimination, impartiality, and justice, interpretability, and security issues related to Artificial Intelligence. The broad coverage aims to provide students with a comprehensive understanding of current trends and their implications for production, beyond the exaggerations surrounding the field.

    This course follows and complements the 6th semester course “Data Analysis and Machine Learning”.