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Responsible AI Professional (RAP) Certification

Put responsible AI into practice.

RAP is for leaders and practitioners who need to decide when AI should be used, how it should be governed, and what proof belongs in the room. You work with UNESCO, OECD, NIST, and IEEE frameworks, then leave with governance artifacts and a custom Ethics Practice Assistant trained on your own analysis.

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•Nearly 30 professionals across the first RAP cohorts.

•Four governance artifacts built against real AI deployment scenarios.

•Custom Ethics Practice Assistant trained on your own analysis.

Cohort 1 outcomes

Graduates built real governance tools, then explained the work.

The first RAP cohort produced sixteen governance tools for real organizations. These are public-safe graduate voices and walkthroughs from the people who chose to share their work.

20 graduates, 16 governance tools

Cohort 1 did not stop at attendance. Graduates built policies, risk matrices, assistants, and decision tools for real deployment contexts.

100% of survey respondents would recommend RAP

End-of-course feedback rated the program 9.6/10 for professional value, with every respondent saying they would recommend it.

Working tools, not slideware

Two graduates put public tools on the open web, and three recorded capstone walkthroughs that explain the decisions behind their systems.

I came in having already studied AI, but I was looking for something deeper on the ethics side, and this course gave me exactly that. It was honestly amazing. It changed how I think about my work, and I left feeling proud of how I show up with AI.
Brittney Ashley

Founder, Creative Dynamics

RAP gives you a zoomable drone's-eye view of the entire AI ethics and governance landscape. You learn enough about the tools and frameworks you need to succeed when you're down in the weeds of a specific project, without losing the big picture view that pulls it all together.
Daniel Bashaw

Learning-experience designer

RAP pointed out a wholistic view of AI for me. I was focused on what AI could do to increase productivity, making more sales, etc. Thought that as long as we had an enterprise account and our IT dept signed off on it we were good for security. Viewing AI with this new lens has made me think hard about the ethics surrounding AI usage, and how I now look at developing tools.
Bruce Ratzlaff

Sales & operations leader, industrial sector

Capstone walkthroughs

Watch graduates explain the systems they built.

You leave with

A governance dossier: Personal AI Inventory, Ethics Assessment, Deployment Checklist, Ethics Impact Assessment, and custom assistant.

No technical AI experience required. If you help budget, deploy, govern, or advise on AI, you are in the right room.

Leaders & executives

Overseeing AI deployments who need governance frameworks that actually work, not policy documents that sit in a drawer.

Career transitioners

With upskilling funds, pivoting into AI governance or differentiating themselves as practitioners who understand ethics.

Practitioners building a practice

People who want a real, ongoing practice, not just another credential to collect.

  • Apply global responsible-AI frameworks (UNESCO, OECD, NIST, IEEE) to systems you actually run.
  • Produce a Personal AI Inventory, Ethics Assessment, Deployment Checklist, and Ethics Impact Assessment.
  • Leave with a custom Ethics Practice Assistant, a GPT trained on your own analysis.
  • Join an alumni network of decision-makers thinking seriously about deployment.

Curriculum

Four sessions, four artifacts

Each RAP cohort is built around practical exercises, scenario work, and assessment. It is not attendance-based. You pass quizzes and complete artifacts.

  1. Module 1: Foundations

    01

    Understanding AI and its limits. How these systems actually work. The accuracy problem: why AI sounds confident when it is wrong. Global frameworks you can reference when making decisions.

    Artifact · Personal AI Inventory

  2. Module 2: Core Ethics

    02

    Bias, privacy, and ownership. Algorithmic bias and fairness definitions (and why they conflict). Privacy and consent in an age of surveillance capitalism. Copyright questions nobody has fully answered yet.

    Artifact · Ethics Assessment

  3. Module 3: Societal Impact

    03

    Deployment, labor, and environment. When should AI be deployed? When should it never be? Labor implications. The environmental costs nobody wants to talk about.

    Artifact · Deployment Checklist

  4. Module 4: The Human Element

    04

    Authenticity, relationships, and meaning. Deepfakes and trust erosion. AI companions and vulnerable populations. What creativity and agency mean when machines can do the work.

    Artifact · Ethics Impact Assessment

Capstone

By the end, those four artifacts become your Ethics Practice Assistant: a custom GPT trained on your own work that knows how you think about these issues. It becomes your practice partner after the program ends.

Investment

Dates, price, and registration

  • Cohort 1

    Completed

    May 2026

    Online · Zoom

    Previous online pilot.

  • Cohort 2

    Enrolling now

    August 7, 2026

    Online · Zoom

    Fridays Aug 7, Aug 14, Aug 21, Aug 28 · 3:00–4:30 PM PT.

    Register

  • Cohort 3

    Enrolling now

    September 18, 2026

    Online · Zoom

    Fridays Sep 18, Sep 25, Oct 2, Oct 9 · 3:00–4:30 PM PT.

    Register

  • Cohort 4

    Coming soon

    Oct 31-Nov 1, 2026

    In person · Vancouver

    Weekend intensive · venue TBD.

Pricing is per cohort.

Standard

$1,500 CAD

BC + AI member

$950 CAD

The membership math is simple. BC + AI annual membership is $340/year. The member registration saves you $550. That is a $210 net benefit after membership, plus Friday office hours, Discord access, meetup priority, and future BC + AI certification discounts.

Any cohort-specific early pricing or ticket windows are handled on the active Luma page. Currently enrolled students may qualify for additional support. Just ask.

Who’s teaching

Practitioners, not lecturers

Kris Krüg

Program Lead

Executive Director of BC + AI Ecosystem Association and founder of the Vancouver AI Meetup. Has spent 25 years building technology across creative and technical worlds, from the world’s first Drupal development company to Dead.net for the Grateful Dead. Brings two years of listening to what people actually struggle with.

Martin Lopatka

Curriculum Lead

PhD in Forensic Statistics, Master’s in AI. Mozilla alum with production ML systems experience. Knows responsible-AI assessment frameworks cold and is volunteering his expertise because this work matters to him.

Sarah Downey

Governance Facilitation

20+ years in nonprofit leadership, helping mission-driven organizations adopt AI responsibly. Her perspective grounds everything in values-centered practice.

FAQ

Questions, answered

Do I need a technical background?

No. If you make decisions about AI, budgeting, deploying, governing, or advising, you are qualified. The program is built for decision-makers and practitioners, not engineers.

Is it attendance-based?

No. You pass quizzes and complete artifacts. Sessions are 90 minutes live each week, plus pre-reading and practical exercises you do on your own schedule.

What do I actually walk away with?

Four governance artifacts (Personal AI Inventory, Ethics Assessment, Deployment Checklist, Ethics Impact Assessment) and a custom Ethics Practice Assistant, a GPT trained on your own work, plus a certificate and alumni access.

How does the member price work?

BC + AI membership is $340/year. The member registration price saves you $550 versus standard. Membership pays for itself and still leaves a $210 net benefit, with Friday office hours, Discord, and future certification discounts on top. Join at /membership first, then register.

Final step

Cohort 2: August 7, 2026

Questions? Email hello@bc-ai.ca or come to Friday Office Hours.

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