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 Workshop 1 — 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, course AI policy, assignment design, grant admin (10) | novice → advanced |
| 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 |
That’s 36 self-paced topics across five tracks. Pick the track that fits your work, start at your level, and go at your own pace.
Not sure where to start? Try the Learning Paths page — it maps topics to your role (admin, research, teaching, practice, or mentoring).
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.