AI Foundations I
Everyday AI — Studio & Roundtable
What we cover:Intro to AI, where it’s used, time/accuracy wins, safe data use, prompt basics.
Discussion angle:“Where AI already shows up in our day” + use case critique.
Great for:All roles, first exposure.
Outcome:Personal workflow that saves 30–90 minutes/week, plus a safety checklist.
AI Foundations II
GenAI Build Lab — From Prompts to Workflows
What we cover: Better prompting (roles, examples, constraints), structured outputs (tables/JSON), PDFs/images/video tools, ROI basics.
Discussion angle: Failure cases, bias, privacy, and how to verify results.
Outcome: A small, working AI assisted process (e.g., “PDF → summary → action email”).
Promptcraft Clinic
Practical Prompt Engineering
What we cover: Prompt patterns, rubric driven outputs, reduction of hallucinations, “critic pass.”
Discussion angle: Peer review of prompts and outputs against a shared rubric.
Outcome: A reusable “prompt pack” for daily tasks.
Pharma & Life Sciences AI Practicum
Documents, Safety & PV Triage
What we cover: Protocol and label summarization, literature
triage, pharmacovigilance intake classification, regulatory change
tracking; risk and audit trails.
Outcome: “Reg change radar” summarizer; PV intake classifier
with human‑in‑the‑loop.
Clinical & Medical Ops AI Studio
Notes, Worklists & Patient Communication
What we cover: Clinical admin workflows (non‑diagnostic),
encounter note recap, intake FAQs, discharge instruction clarity; privacy
and bias guardrails.
Outcome: “Clinic inbox co‑pilot” that drafts safe replies
and flags escalation.
Civil & AEC AI Field Lab
RFIs, Plans & Site Imagery
What we cover: RFI answer assist (code refs), plan/spec
Q&A, submittal/CO review support, photo captioning and change
detection; risk/claims documentation.
Outcome: “RFI assist” that links contract clauses; photo‑to‑punchlist
prototype.
Data Engineering with AI
RAG, Pipelines & Orchestration Practicum
What we cover: Retrieval‑augmented generation (RAG)
patterns, embeddings, vector stores, chunking, evaluation, and pipeline
orchestration.
Outcome: “Docs → Q&A” service with evaluation set and
latency budget.
BI + AI Storytelling
Dashboards, Narratives & QA
What we cover: Turning dashboards into decision memos,
automated insights text, anomaly explanations, data QA with LLMs.
Outcome: Dashboard that generates a weekly brief with cited
facts.
Business Analytics with GenAI
Experimentation & Decision Support
What we cover: Prompted analysis plans, A/B test summaries,
sensitivity analysis, limits of LLM reasoning and how to validate
numerics.
Outcome: “Experiment explainer” that turns raw results into
stakeholder‑ready takeaways.
SQL & Python Co‑Pilot Clinic
for Analysts
What we cover: Generating/verifying SQL, doc‑stringing Python
notebooks,
