Generative AI for Everyone

A class for people with no data science background who wish to learn AI trends.

Course Overview

This four-hour workshop will cover everything you need to know to understand the current trends in generative AI, how these models work, and how to train them, and you can leverage them for your business. The session will cover how text, images, video, and music can be created by AI, details about the data they need, and considerations for their use. All hands-on programming will be done in Python.

Prerequisites

Attendees should be comfortable with the basics of programming but need no background in data science or AI.

Certificate

Certificates are awarded at the end of the program at the satisfactory completion of the course. Students are evaluated on a pass/fail basis for their performance on the required homework and final project (where applicable). Students who attend a minimum of 85% of the class are eligible for the certificate of completion.

Syllabus

Unit 1: Introduction to Generative AI

• Perception vs. generation
• Notable examples

Unit 2: Types of Generative Models

• Autoregressive Models
• Autoencoders
• Generative Adversarial Networks (GANs)
• Transformers
• Diffusion Models
• The raise of prompting

Unit 3: Building and Training Generative Models

• Gathering training data
• Creating a basic model
• Defining a training loop
• Scaling up

Unit 4: Image, Video, Text, and Music Generation using AI

• Large Language Models
• Text to Image models
• From images to videos
• Approaches to music

Unit 5 : How to invest in Generative AI

• Opportunities for new products
• Improving efficiency

Bonus Unit: How generative AI will disrupt the industry and its social and legal implications