Generative AI / ML

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About Course

Generative AI is a subset of artificial intelligence that focuses on creating new content, such as text, images, music, or videos, by learning from existing data patterns. It uses machine learning models, particularly deep learning architectures like GANs (Generative Adversarial Networks) and transformers, to generate outputs that resemble real-world data. Applications include content creation, drug discovery, and more, showcasing its potential to innovate in diverse industries.

What Will You Learn?

  • Fundamentals of machine learning and deep learning.
  • Architectures like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
  • How to build and train models for generating new data (e.g., images, text, music).
  • Techniques for data preprocessing and augmentation.
  • Evaluation methods for generative models.
  • Applications of generative AI across different industries.
  • Ethical considerations and challenges in generative AI.
  • Fine-tuning pre-trained models for specific tasks.

Course Content

Python

  • Python Basics
    00:00
  • Data Types & functions
    00:00
  • OOPS
    00:00
  • Files & Exceptional Handling
    00:00
  • Database & Web API
    00:00
  • Python Libraries
    00:00

Statistics

Machine Learning

Deep Learning

NLP

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