Self-Paced Tracks
Self-Paced Tracks
Work through AI topics on your own — organized by theme, with practice activities, readings, and a readiness check on every page
These tracks turn the workshop catalog into self-paced learning. Each topic page has a short overview, two hands-on practice activities, a readiness quiz with instant feedback, recommended readings, and useful resources. Pick a track, start at your level, and go at your own pace.
Everything builds on Core 1 · Foundations & Capabilities — prompting and the Drexel data rules. Keep practice data non-sensitive; see Tools & Access.
Difficulty levels
Novice getting started — no prior experience needed. Moderate comfortable with some coding or analysis. Advanced experienced users auditing AI-built work.
Tracks
| Track | Topics | Level range |
|---|---|---|
| Data & Analysis | Basics, cleaning, coding, statistics, dashboards, image annotation, qualitative, advanced (8) | novice → advanced |
| Communication & Dissemination | Science communication, grant writing, literature review, multilingual materials, manuscripts, design & visual tools, collaborating on projects, grant admin, slides (9) | novice → advanced |
| Everyday Tools | Copilot for email in Outlook, Zoom AI Companion, Acrobat AI Assistant (3) | novice |
| Technical & Agentic | Skills, context engineering, agents, loops, local models, RAG, MCP (7) | moderate → advanced |
| Governance, Ethics & Equity | Verifying output, sustainability, data security, responsible AI, bias & equity audit, keeping your judgment, mentoring & advising (7) | novice → moderate |
| Methods & Study Design | Survey design, program evaluation, de-identification & synthetic data, geospatial (4) | moderate → advanced |
| Teaching & Learning | Course AI policy, assignment & assessment design, course setup in Canvas, AI in your coursework, AI for your thesis (5) | novice → moderate |
That’s 43 self-paced topics across seven tracks. Pick the track that fits your work, start at your level, and go at your own pace.
The Teaching & Learning track has two sides: the first two topics are written for instructors, the last two for graduate students. Reading the other side is worth the twenty minutes — policies get clearer when you’ve seen them from the seat they’re read in.
Not sure where to start? Try the Learning Paths page — it maps topics to your role (admin, research, teaching, practice, mentoring, or graduate student).
These tracks are drawn from the workshop topic catalog and will keep growing. If you want a new topic added — or have feedback on one — email daq26@drexel.edu.