Practical AI training for universities and public health programs

Help faculty, students, and research teams use AI responsibly for learning, synthesis, communication, and workflow support.

Backyard-AI provides practical AI workshops, training sessions, workflow support, and responsible AI guidance for public health programs, universities, faculty groups, and student audiences.

Common university use cases

• Teaching students practical and responsible AI use

• Supporting literature review and evidence synthesis workflows

• Drafting learning activities, cases, and training materials

• Helping faculty develop AI expectations for assignments

• Supporting research workflow organization

• Training public health students on AI limitations and review practices

• Building shared language around AI ethics, source use, and human judgment

• Customized vibe-coded data tools for faculty

Bring practical AI training to your program

Share your audience, course, department, or event goals, and Backyard-AI can recommend a session format.

Workshop ideas for universities

AI for Public Health Students

A practical session on using AI for learning, summarizing, brainstorming, drafting, and reviewing without replacing critical thinking.

AI for Faculty and Teaching Teams

A session on assignment design, AI expectations, review practices, and practical classroom examples.

AI for Research and Evidence Workflows

A focused session on literature summaries, evidence tables, qualitative analysis support, source boundaries, and review practices.