Generative AI Fluency

Overview

This course provides a comprehensive high-level overview of Generative AI, beginning with foundational concepts and terminology and then delving into specific applications such as Large Language Models (LLMs) for text generation and diffusion-based models image creation. Key lessons include an in-depth look at LLMs, AI image generation methods, and hands-on experience with tools like DALL-E and Midjourney. The course concludes by addressing practical aspects of deploying Generative AI in production environments, focusing on data collection, prompt execution, maintenance, and orchestration strategies.

Syllabus

Simple Introduction to Generative AI

In this lesson we will cover the key concepts, basic terminology, and typical applications of Generative AI.

Large Language Models (LLMs) and Text Generation

In this lesson, you'll dive deeper into one of the most prominent applications of Generative AI: Large Language Models (LLMs).

Introduction to AI Image Generation

In this lesson, you will learn what AI imaging generation is, how it works, and some AI image generation models and techniques.

AI Image Generation Tools

In this lesson, you will learn how to generate images from text with some popular tools, like DALL-E and Midjourney.

Generative AI in Production

In this lesson, you will learn about the practical considerations for using generative AI in production, including techniques for data collection, prompt execution, maintenance, and orchestration.