Generative AI Fluency

Übersicht

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.

Lehrplan

• 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.

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Unterrichtet von

Uohna Thiessen, Rohan Viswanathan , Giacomo Vianello, Raphael Mallari, Ed Wiley, Erick Galinkin, Chang She, Sergei Kozyrenko and Emily McMilin

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Fachgebiete

Computer Science