AI Club Learning Resources and Project Ideas

Exploring the fascinating world of AI requires a solid educational foundation. This section provides a curated collection of free online courses, tutorials, and learning resources to help your AI Club members gain theoretical knowledge and practical skills in various AI domains.

The first step in preparing for an AI-enhanced world is to understand what AI is, how it works, and the ethical issues related to AI. From there, focus on AI’s potential impact on various aspects of society — including economics and employment. Then, dive into building your own AI if you want to go deeper. 

Here are some resources to help you plan your AI Club’s learning journey. 

Curated Workshops

The AI Pedagogy Project’s AI Starter Guide and the Large Language Model Tutorial are great places to get started. 

While these resources were developed primarily for educators, they work equally well for a student-led AI Club. 

In addition, each of these resources have AI workshops and sessions for students. Some are coding based, but many don’t require any coding knowledge. And some are even sessions that can be done without a computer or internet connection. 

  • aiEDU: aiEDU is a non-profit that creates equitable learning experiences that build foundational AI literacy.
  • AI for Education: Curriculum, prompts, resources, and more for educators interested in using AI in and outside the classroom
  • AI Literacy Lessons for Grades 6–12 (Common Sense Media): Quick lessons (20 minutes or less) to give students an intro to AI , its potential risks and benefits, and how to think critically to be ethical and responsible users of AI.
  • AI Pedagogy Project: The AI Pedagogy Project, created by the metaLAB (at) Harvard and FU Berlin, seeks to demystify AI, encouraging critical engagement and creative AI applications in education.
  • DAILy Curriculum: The DAILy curriculum, developed by a team of researchers at MIT RAISE, features 4 units for hands-on and computer-based activities on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future
  • Day of AI: Developed by a team of researchers at MIT RAISE, these free resources are designed to be taught by educators with little or no technology background. Activities are organized by age group (elementary, middle school, and high school) and can be run in 30-minute to 1-hour time blocks.
  • MIT AI Ethics Curriculum for Middle School Students: Developed by a team of researchers at MIT RAISE, the AI & Ethics Project has developed an open source curriculum for middle school students on artificial intelligence and its ethical implications.
  • RAISE Playground: A block-based programming platform that lets anyone use machine learning models, robotics, and AI engines to make projects.
  • TeachAI: TeachAI, a collaboration between and other organizations, provides a toolkit for schools working on AI guidance policies.
  • Teaching with AI, by Open.AI: Open.AI, the creator of ChatGPT, has published an online guide for educators using generative AI in their classroom—including suggested prompts, an explanation of how ChatGPT works and its limitations, the efficacy of AI detectors, and bias.

Online Courses and Tutorials for AI Clubs

Here is a curated list of high-quality online courses and tutorials from reputable sources like Coursera, edX, and DataCamp. Your faculty advisor may be able to get your AI Club free access to DataCamp courses. These resources cover a wide range of AI topics and cater to different learning styles:

AI Basics

  • DataCamp AI Fundamentals Course: an intro into AI, ChatGPT, large language models (LLMs), and machine learning (ML)
  • DataCamp Generative AI Course: this no-coding course covers generative AI, its development, ethical considerations, future prospects, and how to effectively leverage and collaborate with these powerful content creation tools.
  • DataCamp AI Ethics Course: a comprehensive overview of ethical considerations in AI, covering principles, strategies for fair and equitable systems, bias minimization, key issues, user trust, and hands-on exercises to craft ethical AI by design.
  • DeepLearning AI for Everyone: offers comprehensive training in AI for anyone, covering common AI terminology, practical applications, project building, team collaboration, and ethical considerations.
  • Google AI for Anyone: a course for anyone to learn what AI is and how it works.
  • Google Introduction to Generative AI:  introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. 
  • Google Introduction to Responsible AI: introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products.

Learn to Design AI

Educational Videos and Lectures for AI Clubs

Complement your learning with engaging video content from renowned experts and institutions. These video resources provide visual explanations, examples, and insights into AI concepts:

Ted Talks on AI

Other Videos on AI

Longer videos on AI

Books and Reading Materials for AI Clubs

For those who prefer traditional reading materials, here are some books, research papers, and articles on AI topics and other future:

Coding Project Ideas and Code Repositories for AI Clubs

Hands-on projects are crucial for solidifying your AI knowledge and skills. Explore our collection of project ideas, templates, and code repositories to kickstart your own AI creations.

Google Colaboratory

Google Colaboratory (“Colab”) allows anybody to write and execute python code through the browser, and is especially well suited to machine learning, data analysis and education. More technically, Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Here are some Colab projects and tutorials to start with:

Remember, these resources are just starting points for your AI Club. We encourage you to continuously explore, experiment, and stay updated with the latest developments in the rapidly evolving field of AI.