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AI Literacy

Title/Resource Description
This is a free online course developed by the University of Helsinki and MinnaLearn. It aims to demystify AI for the general public, covering fundamental AI concepts without requiring advanced technical skills. It is perfect for people with no previous AI knowledge.
Taught by Andrew Ng, this course provides a non-technical introduction to AI, focusing on its concepts, applications, and impact on society. It's designed for anyone who wants to understand AI, regardless of their technical background. Audit options allow free access to the course content.
Google provides a variety of free courses, including introductions to basic AI concepts, and machine learning principles. It can be found through Google's Skillboost platform. They have courses for a wide variety of experience levels.
Provides free courses with an emphasis for students. They have various courses from "Artificial Intelligence Fundamentals" to "Build Your Own Chatbots." They offer courses and digital badges.

Title/Resource Description
This course offers a foundational understanding of Generative AI, beginning with basic AI principles and progressing through machine learning, neural networks, and deep learning. It covers the significance of Large Language Models and Generative Models, presenting both their mathematical concepts and real-world applications. It gives a broad overview of AI from its history, all the way to present-day LLM usages.
This introductory microlearning course explains Generative AI, detailing its operation and how it varies from conventional machine learning methods. It will also cover Google tools that may be utilized for building GenAI applications. It includes videos, reading material, and quizzes. This course is part of the "Introduction to Generative AI Learning Path Specialization".
This is another Google Cloud course, and is an introduction to what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps. Provides videos, reading materials, and quizzes. You can also gain a badge upon completion.
This course from IBM covers the fundamentals and evolution of generative AI, its capabilities in various domains (text, image, audio, video, code, data), and its applications across sectors. It provides labs and expert viewpoint videos. It is good for people from beginners to professionals.

Title/Resource Description
A very comprehensive, open-source guide to prompt engineering. Covers a wide range of techniques, from basic to advanced. Excellent for in-depth understanding. Provides text explanations, and example prompts. It also has community information.
This course gives fundamental knowledge of ChatGPT and general AI tools. It will teach you how to make effective prompts. It also handles the ethical considerations of using AI models.
This course offers a combined learning style of audio, written, and labs. Students are shown how to craft effective prompts, and use prompting tools. Also provides information on various prompting methods.
This course focuses on giving the user the knowledge needed to make effective prompts for various Google AI products. It focuses on how to make prompts for everyday tasks, and data analysis. The course includes video lessons.
This is more of a guide than a course. It is from the creators of ChatGPT, so it is a useful source of information. It gives basic information such as how to format prompts, and how to give the correct instructions.

Title/Resource Description
Delves into the ethical considerations of AI. Covers accountability, transparency, and fairness. Designed for general accessibility.
Overview of responsible AI, emphasizing its importance and Google's implementation of responsible AI principles. Introduces Google's 7 AI principles. Microlearning course.
Foundational knowledge of ethical considerations in AI. Addresses potential ethical issues and strategies, focusing on transparency, fairness, and accountability. Includes practical case studies.
Builds awareness of the societal impacts of modern technologies. Provides tools for responsible AI practices. Designed for data scientists, policymakers, and business leaders.