Generative AI: Foundations and Concepts

Instructor: Ramin Mohammadi

Skills you'll gain

  •   Applied Mathematics
  •   Artificial Neural Networks
  •   Generative AI
  •   Computer Vision
  •   Machine Learning
  •   Probability Distribution
  •   Deep Learning
  •   Mathematical Modeling
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Bayesian Network
  •   Network Architecture
  • There are 4 modules in this course

    This course provides an overview of some different concepts underpinning Generative AI, their mathematical principles, and their applications in engineering. The focus will be on the practical implementation of generative AI including, neural networks, attention mechanism, and advanced deep learning models.

    Regularization and Advanced Techniques

    Convolutional Neural Networks (CNNs)

    Generative Models and Maximum Likelihood Learning

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