Generative AI

Course Overview

Generative AI is a cutting‑edge course that explores models capable of creating new content—text, images, audio, and more. Learners dive into the architectures behind modern generative systems, including GANs, VAEs, diffusion models, and large language models (LLMs). The course emphasizes practical implementation, ethical considerations, and real‑world applications across industries.

Target Audience

Ideal for:

• Data scientists, ML engineers, and AI researchers

• Developers building creative or generative applications

• Professionals exploring automation, content generation, or AI‑driven innovation

• Anyone with prior ML and deep‑learning knowledge seeking to advance into generative modeling

Course Outcomes

Learners will be able to:

• Understand the principles behind generative modeling and representation learning

• Build and train GANs, VAEs, and diffusion‑based models

• Work with LLMs for text generation, summarization, and conversational AI

• Generate synthetic images, text, and other media using modern frameworks

• Evaluate generative models for quality, diversity, and bias

• Apply generative AI to real‑world use cases such as design, automation, simulation, and content creation