Programs & Resources

Learning for All

At New York Tech, we’re democratizing artificial intelligence (AI). Our programs ensure that every member of our community—from novices to experts—can utilize AI to the best of their ability.

Through workshops, courses, and hands-on projects, we equip our community with the skills to thrive and creatively evolve in an AI-driven world. Our tools and resources are open to all, ensuring equity and accessible opportunity across every department.

AI-Forward Academic Programs

Artificial Intelligence Minor

Open to all undergraduates at New York Tech, the AI minor helps students integrate artificial intelligence techniques into various domains, from healthcare to business to creative arts.

Data Science, M.S.

Designed for working professionals, this graduate degree teaches skills in data analytics, machine learning, visualization, and more to solve problems in business and scientific contexts. Also available online.

Architecture, Computational Technologies, M.S.

Open to all undergraduates at New York Tech, the AI minor helps students integrate artificial intelligence techniques into various domains, from healthcare to business to creative arts.

Tools and Resources

From helpful guides from New York Tech’s library to pedagogical tips from the Center for Teaching & Learning, here are some tools and resources on how to approach artificial intelligence in the classroom.

Communities of Practice (CoP) are small groups of trusted colleagues who share a passion for something. The Teaching in AI CoP serves as an AI “sandbox,” focusing on encouraging faculty and student success, considering new AI strategies, and rethinking what we expect our students to be able to do.

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The AI Resource Hub is a Canvas course designed to curate and provide access to high-quality AI materials and resources relevant to educators and staff within the New York Tech community.

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This selection of videos from New York Tech’s Academic Technology Services team covers everything from basic introductions to Generative AI, Microsoft Copilot, and Large Language Models (LLMs) to prompt engineering, security and privacy issues, and how to use AI to transform your teaching and research.

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To use AI successfully, users must create and refine the prompts given to language models to generate accurate and relevant responses aligned with the user’s goals. Mastering prompt engineering is essential for leveraging the full potential of AI in research, development, and practical applications.

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This library guide offers a collection of links to articles, books, and videos to learn about and research AI and GenAI.

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AI Teaching Tips

New York Tech’s Center for Teaching & Learning (CTL) offers weekly teaching notes on various pedagogical topics, including the following on AI-related topics.