Responsible AI Professional — 4 Week Certification Course

AI is already part of how we work. The question is -- Can we use it well.

That's the gap I kept running into. Professionals who genuinely wanted to make thoughtful decisions about AI, but who didn't have a structured way to build that practice. Not a compliance document. Not a vendor pitch. A real working knowledge of how to lead AI use responsibly.

So when Kris Krüg of the BC + AI Ecosystem invited me to help build something, I said yes.

RAP — Responsible AI Professional is a four-week certification built for people who want to close the gap between their values and how they actually use AI.

What the course covers

Four live sessions, four practical artifacts, and a capstone you'll actually use after the program ends.

Week 1 — Foundations: How AI systems actually work, what responsible means across global governance frameworks (UNESCO, OECD, NIST, IEEE), and how to assess where AI is genuinely useful versus overhyped. You'll map your own AI landscape with a Personal AI Inventory.

Week 2 — Bias, Privacy & Ownership: Algorithmic bias, data and consent, the surveillance economy, and the emerging questions around copyright. You'll apply these frameworks directly to a real system in an Ethics Assessment.

Week 3 — Societal Impact: When should AI be deployed — and when should it never be used? Labor displacement, environmental cost, and the digital divide. You'll build a Deployment Checklist for an AI system you know.

Week 4 — The Human Element: Authenticity, trust, deepfakes, synthetic media, parasocial dynamics, and what creativity and meaning look like in an AI age. This week feeds directly into your final capstone.

Capstone Presentations: After the final session, participants complete a responsible AI risk assessment of an existing system and share a five-minute highlight reel with the cohort.

What you leave with

• The RAP certification — grounded in multiple global frameworks, not one jurisdiction or perspective

• Four practical artifacts that function as your working methodology

• A custom AI assistant trained on your coursework — your ongoing practice partner after the program ends

• Entry into the BC + AI professional community: monthly office hours, special interest groups, and continuing education

The details

Four 90-minute sessions every Friday — May 22, May 29, June 5, June 12 — from 3:00 to 4:30 PM Pacific. Fully virtual. Plan for 90–120 minutes of pre-reading before each session, plus time for your final project. Approximately 16 hours of focused effort in total. Cohort size: 30 people.

After the final session on June 12, we'll gather for an additional 60 minutes of peer presentations to showcase the work you and your cohort have completed.

Investment (CAD)

• Standard — $1,500

• Early Bird — $1,200

• BC + AI Member — $750

• Early Bird Member — $600

BC + AI membership is $340/year. The member discount saves you $750 on this course alone.

Register on Luma → luma.com/ai-ethics

Questions? Get in touch.

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About Sarah Downey Sarah Downey is a Canada-based consultant helping nonprofits adopt AI safely, ethically, and confidently through governance clarity and policy development.