education/learn

AI is not only for engineers. “AI for Everyone”, a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change.

This program is designed for professionals to devise AI-based solutions, and drive successful implementation of AI and ML technologies in organizations.

Learn IBM’s AI Essentials Framework from experts, see an example in practice, and gather the resources you need to get started on your own project today.

People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI.

Master the essential skills to land a job as a machine learning scientist! You'll augment your Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning. You'll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. In the process, you'll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.

Making neural nets uncool again

Learn to develop AI products that deliver business value. Build skills that help you compete in the new AI-powered world. Learn online, with Udacity.

Discover the awesome power of creative AI, and learn what machine learning is and how it works with this online course from UAL Creative Computing Institute.

How do we design AI systems that augment and empower people? This course connects human-computer interaction (HCI), the multidisciplinary field that focuses on designing interactions between humans and technology, to the transformative effects of AI so that you can better serve your customers and drive your company forward. You’ll learn to make informed decisions on how and when our company should be designing smart and AI-based products to change how you work, learn and communicate.

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

ml4a is a collection of tools and educational resources which apply techniques from machine learning to arts and creativity.

Discover how AI is transforming the creative industries with this online creative computing course from UAL offering practical examples and skills guides.

Free, online course from fast.ai and USF Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism

With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely […]

Lingua Franca is a design language for human-centered AI - a set of guidelines that apply to any Artificial Intelligence (AI) product, tool, service, or experience, to bring coherence and fluidity to otherwise complex and messy technologies.

What is machine learning? See how it works with our animated data visualization.

A collection of resources for intersection of design, user experience, machine learning and artificial intelligence.

aiEthicist.org is a global repository of research and initiatives to support advocacy and knowledge relevant to Ethics, Ethical AI, AI Governance, Explainability, AI Principles, AI National Strategies.

# build your AI skills: beginner to expert;

Elements of AI is a massive open online course teaching the basics of artificial intelligence. The course, originally launched in 2018, is designed and organized by the University of Helsinki and technology company Reaktor

In this course, students will learn fundamental machine learning techniques that can be used to make sense of human gesture, musical audio, and other real-time data. The focus will be on learning about algorithms, software tools, and best practices that can be immediately employed in creating new real-time systems in the arts.