Education Tools

A short course by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI).

Sebastian Thrun’s Introduction To Machine Learning

Udacity

robust introduction to the subject and also the foundation for a Data Analyst “nanodegree” certification sponsored by Facebook and MongoDB.

How To Learn Artificial Intelligence (AI)?

Appliedaicourse

provides a step-by-step guide for beginners to understand and develop AI skills. It covers foundational topics like programming (Python), mathematics, and machine learning, progressing to advanced concepts such as deep learning and neural networks.

A free, open-source course on communicating with artificial intelligence.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai

The in-person certificate courses are not free, but all of the content is available on Fast.ai as MOOCs.

A roadmap connecting many of the most important concepts in machine learning, how to learn them, and what tools to use to perform them.

Ng’s gentle introduction to machine learning course is perfect for engineers who want a foundational overview of key concepts in the field.

all important notes to learn pytorch with all the examples in google colab

Roadmaps featuring essential concepts, learning methods, and the tools to put them into practice.

notebook by [@johnowhitaker](https://twitter.com/johnowhitaker) exploring Stable Diffusion details

7-week Online class starting October 24th, 2022 by

created in partnership with AWS, this course presents the fundamentals of how generative AI works and how to deploy it in real-world applications.

"gentle introduction [on] how Stable Diffusion works"

Implementing a ChatGPT-like LLM from scratch, step by step

an introductory level microlearning course covering Google Tools aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.

website with the book draft and Google Colabs of the book by Simon J.D. Prince

animations and instructional videos about neural networks

introduction to Generative AI, including models such as GANs, Variational Autoencoders, Autoregressive Models, and their applications, evaluation, ethics, and challenges

Course content and resources for the AIAIART course

AI for Industrial Design

Industrialdesign

"students at the National University of Singapore explore AI’s capability for design in a semester course and share what they learned. Directed by Donn Koh at the Division of Industrial Design, NUS."

sequel to Grokking Stable Diffusion by [@johnowhitaker](https://twitter.com/johnowhitaker) that focus on Text Inversion

paid ($99) course focused on prompt engineering