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34

weekly

or 136 for 4 classes

Arte con IA con Python y Google Colab

Completado por 2 alumnos

Edades 10-15

Clase grupal

En esta clase de 4 semanas, los estudiantes crearán arte de IA increíble con Python y Google Colab. Aprenderemos técnicas de estimulación, tecnologías emergentes y también veremos demostraciones avanzadas. No es necesario tener experiencia en codificación (pero es útil).

Mr. Marty

Puntuación media:

5.0

Número de reseñas:

(29 opiniones)

Videoconferencias en vivo

1 x por semana, 4 semanas

1-8 alumnos por clase

50 min

Acerca de Descripción general del aprendizaje Maestro Reseñas

Qué incluye

4 reuniones en vivo

3 horas 20 minutos horas presenciales

Experiencia de clase

CONTENT:
This class will consist of four meetings.  In each class we will be creating AI Art using a different Python Colab Notebook.  Each class will highlight different aspects of AI Art but also of tech in general.   Some of these include Python, Colab, Google Drive, Github, and APIs


STRUCTURE:
Each class starts out with questions and/or sharing.  After that the new topic is introduced and the motivation/theory is laid out.   Students will then load/run their notebooks and start creating images using the new tools.  After some sharing, the class ends with a demonstration using more advanced tools from various websites and different software.

STYLE:
I base my teaching on the Socratic method.  I encourage play and exploration and prefer suggesting options to giving overt direction.  I believe motivation is key in learning and I have a very strong belief in AI Art as a great tool for teaching tech.

INTERACTION:
This class is highly interactive.  Students will get to see each other's work and ask questions but most of the interaction is with the instructor.

Metas de aprendizaje

Students will learn how to create AI Art with code, how to run experiments and mass produce images, and will see AI Art as part of games.

Programa de estudios

4 Lecciones

más de 4 semanas

Lección 1:

Intro To AI Art: the Prompt

 What are diffusion models and how do they work?  After a brief explanation about what these generative AIs are trying to accomplish and how they are trained, we will dive into Google Colab and set up our notebooks.  We will learn about Python libraries, prompting, art terms, open source, and Stable Diffusion.  I will demonstrate Midjourney and we will make art in both Colab and Dreamstudio.

50 minutos de lección en vivo en línea

Lección 2:

Models and Parameters

 What is transfer learning and how can we use it to leverage the work of the community?  We'll dive in to fine-tuned models that specialize on things like Pixar, Disney, Photography, and much more.  We will learn how to change image size, computation steps, and the creativity scale.  We will connect to Google Drive so that our images can be automatically organized into portfolios.   i will demonstrate Leonardo.ai's real time capabilities and show fine-tuned models.

50 minutos de lección en vivo en línea

Lección 3:

Creativity and Randomness

 What is the role of AI as a creative partner?  How can chance and randomness help us create art?  We will learn methods for enhancing prompts such as wildcards and ChatGPT.   We will learn about GitHub and use it to access files containing various  types of art terms used for our prompts.  We will also access prompt templates and create a MadLibs style game activity.  I will demonstrate image refinement techniques in Dreamstudio and Leonardo: img2img, Controlnet, and inpainting/outpainting.

50 minutos de lección en vivo en línea

Lección 4:

Refining the Image

 What's next?  In this final installment we will dive into img2img and reveal it simple underpinnings.  We will experiment with inpainting and masks.  We will experiment with some amazing prompts and I will showcase some creative workflows using Comfyui.  Finally, I will demonstrate the power of API's and how to use them with DALLE-3, Leonardo, and Dreamstudio.

50 minutos de lección en vivo en línea

Otros detalles

Orientación para padres

AI Art very often creates distorted images which can include deformed people and animals. Though our Colab notebooks have filters, these are not 100% effective. If students continually try to make inappropriate images, some may well appear.

Requisitos previos

You need to have a gmail account that has access to Google Drive. The guardian's account will suffice as we are simply saving pictures temporarily. Programming experience is desirable but not required. A love of art and AI is a must!

Lista de útiles escolares

This course will require an unrestricted gmail account capable of accessing Google Drive and Google Colab.

Recursos externos

Además del aula de Outschool, esta clase utiliza:

Conoce al profesor

Mr. Marty

Se unió el March, 2023

5.0

29reseñas

Perfil

Experiencia y certificaciones del docente

2 Grado

Maestría en Matemáticas desde Harvard University

Licenciatura en Matemáticas desde Harvard University

I have been a Computer Science teacher for about 10 years.   I love coding and art.  I  taught AI Art Club with Google Colab for about a year and this course is an improvement I believe.