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Generative AI is trending because of the latest interesting developments in the field. From DALL-E to Diffusion models to ChatGPT, there have been many such models introduced to this field in just two years that have surprised people with how AI can perform better than humans in many fields of work. Now the practitioners interested in AI are eagerly looking to advance their skills in Generative AI.

ADaSci presents this course to introduce Generative AI to the community and keep the practitioners updated with this latest trend. This course covers a detailed explanation of Generative AI and popular models used in it with their working and real-world implementations of popular Generative AI models.

This is a recorded workshop. You will receive the video lecture and Colab notebook links after your purchase.

Learning Outcomes

Course Outline

  1. Introduction to Generative AI
    1. Overview and Developments
    2. Discriminative AI vs Generative AI
    3. Popular models and applications
  2. Generative AI in Computer Vision
    1. Generative Adversarial Networks (GANs)
    2. DALLE
    3. Stable Diffusion
  3. Generative AI in NLP
    1. GPT and Its Variants
    2. Other Transformers in NLP
    3. ChatGPT
  4. From GANs to ChatGPT

Navigating to Generative AI Generative AI Crash Course – Handouts Video Tutorial on Generative AI Hands-on Generative AI: Python Notebooks Quiz