Learn the Foundations of Machine Learning

Understand concepts like supervised and unsupervised learning, as well as the role of neural networks.

Python and Libraries

Python is the language of choice in AI. Familiarize yourself with Python and its data science libraries like TensorFlow and PyTorch.

Deep Dive into Neural Network

Deep Dive into Neural Network

Delve into neural networks, particularly deep neural networks. Learn about architectures, activation functions, and the backpropagation algorithm. This is the heart of AI.

Understand the Overview of Generative Model

Get to know what autoencoders, variational autoencoders (VAEs), and Generative Adversarial Networks (GANs) are, and their applications.

Learn Natural Language Processing (NLP) and Text Generation

FNLP is a crucial part of generative AI. Learn about tokenization, embeddings, and recurrent neural networks (RNNs).

Learn Conditional GANs and Style Transfer

Expand your knowledge with conditional GANs and style transfer techniques. These allow you to control the output of your generative models.

Create A Real-World Project

These could include generating art, deepfake detection, content recommendation systems, or even creating your own AI-powered applications.

Generative AI is a rapidly evolving field. Stay up-to-date with the latest research papers, attend conferences, and collaborate with the AI community