Courses
Structured, multi-module courses and certificate programs for building AI skills. Ordered alphabetically by title. New here? The first two entries are good starting points.
AI Essentials: Faculty Resources (Penn State)
Level: Beginner · Modality: Text · Purpose: Research, Productivity
Penn State’s foundational AI-literacy training for faculty, with a Faculty Quick Start Guide and ready-to-use course-integration materials. A low-pressure first stop for understanding what AI literacy means at Penn State and how it fits your work.
Reviews:
- 07/2026 — Penn State — Recommend. The natural first stop for any Penn State faculty member, and it comes from within the university, so the guidance matches our policies and tools.
More info: AI Essentials at Penn State
Anthropic: Learn
Level: Beginner · Modality: Text, Code · Purpose: Coding, Productivity, Research
Vendor courses and guides on using large language models well, including prompting, working with the Claude model family, and building simple AI-assisted workflows. Practical and hands-on.
Reviews:
- 07/2026 — Eric Ford — Recommend. A clear, applied introduction to getting useful work out of a modern chat assistant. Keep in mind it focuses on one vendor’s tools, so pair it with a broader overview.
More info: Getting started with Claude (detail page)
IBM Qiskit learning ecosystem
Level: Intermediate · Modality: Text, Code · Purpose: Coding, Learning Aid, Research
IBM’s quantum-computing learning materials: lectures, notes, and code examples built around the Qiskit framework.
Reviews:
- 07/2026 — Wenrui Hao — Recommend. Used together with ChatGPT to get oriented on quantum computing fundamentals for biological and life-science modeling; helpful for making a fast-moving, technically difficult field more approachable.
Source: 2026 Summer Faculty Upskilling Reflection Lunch meeting notes.
To add a course, copy the block in templates/resource-entry-template.md and paste it below, keeping the list alphabetical. See CONTRIBUTING.md for step-by-step help.