Diploma in AI Product & Governance
Lead AI products from discovery to compliance: model evaluation, UX patterns, Canadian regulatory alignment (AIDA/PIPEDA), and ROI.
About this program
Designed for product managers, directors, and technical leaders who need to steer AI initiatives from concept to production while navigating risk, ethics, compliance, and user trust in Canadian enterprise environments.
Student ratings
Outstanding — 118 verified Canadian graduates rated this program 4.9/5. Reviews emphasize the applied capstone, instructor responsiveness, and career outcomes.
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Who this program is for
- →Working professionals moving into ai-product roles
- →Analysts, developers, and product people leveling up on applied AI
- →Canadian residents seeking a verifiable diploma credential
Topics you'll cover
6 modules across 6 months — 28 lessons in total.
Full syllabus
Module 1 · Module 1: AI Opportunity Discovery & Feasibility Analysis▾
- L1When to use AI vs. heuristics vs. standard software rules
- L2Feasibility analysis: data readiness, model maturity, and technical risk
- L3Unit economics: token pricing, infrastructure costs, and ROI calculation
- L4Competitive positioning in the Canadian AI ecosystem
- L5Module 1 Capstone: Enterprise AI Opportunity Assessment & Business Case
Module 2 · Module 2: AI UX & Human-AI Interaction Design▾
- L1Interaction design for generative systems: streaming, feedback loops, and attribution
- L2Handling latency, fallback states, and uncertainty communication
- L3Human-in-the-loop UX patterns and prompt-assisted interfaces
- L4Conducting usability testing on non-deterministic AI systems
- L5Module 2 Capstone: Interactive AI Co-pilot interface wireframes and UX spec
Module 3 · Module 3: Canadian AI Regulation, Privacy & Compliance▾
- L1PIPEDA and provincial privacy laws (Law 25 in Quebec, PIPA in BC/AB)
- L2Bill C-27 and the Artificial Intelligence and Data Act (AIDA)
- L3Treasury Board Directive on Automated Decision-Making (ADM)
- L4OSFI Guideline E-23 for financial institutions and model risk management
- L5Module 3 Capstone: Comprehensive Algorithmic Impact Assessment (AIA) report
Module 4 · Module 4: Model Evaluation & Metric Frameworks▾
- L1Translating technical metrics (F1, BLEU, ROUGE) into business outcomes
- L2Designing rubric-based qualitative human evaluation protocols
- L3Algorithmic fairness, bias audits, and demographic parity testing
- L4Continuous product monitoring and customer satisfaction loops
- L5Module 4 Capstone: Enterprise AI product scorecard and QA dashboard spec
Module 5 · Module 5: Organizational AI Adoption & Risk Management▾
- L1Vendor evaluation and third-party AI model procurement frameworks
- L2Establishing an internal AI Ethics & Review Board
- L3Employee upskilling and AI usage policies
- L4Incident response protocols for AI regressions or data breaches
- L5Module 5 Capstone: Enterprise AI Governance Charter and Rollout Plan
Module 6 · Module 6: Capstone Practicum & Executive Defense▾
- L1Synthesis of product PRD, financial model, and compliance dossier
- L2Stress-testing assumptions with industry product leaders
- L3Executive presentation and defense before seasoned AI VPs
What you'll be able to do
- ●Define AI product roadmaps with clear ROI models and unit economics
- ●Craft AI interaction design patterns handling latency, uncertainty, and hallucinations
- ●Navigate Canadian regulatory standards: PIPEDA, Bill C-27 (AIDA), and OSFI E-23
- ●Establish algorithmic bias testing and ethical risk matrices
- ●Design model evaluation scorecards for non-technical executive stakeholders
- ●Build organizational AI safety charters and procurement frameworks
Career paths after graduation
Frequently asked questions
How much does the Diploma in AI Product & Governance cost?▾
Tuition is $2,200 CAD, paid once. You can pay in full at checkout or choose an interest-free monthly plan. A 30-day refund window applies from your enrollment date.
How long is the Diploma in AI Product & Governance program?▾
Self-paced. Most students complete it in 6 months at roughly 7 hours per week, but you can go faster or slower — you keep lifetime access.
What are the prerequisites?▾
Product management, business analysis, or technical program management experience; Understanding of software development lifecycles (Agile/Scrum); No coding required, though technical literacy is strongly recommended
Is the diploma recognized in Canada?▾
Yes. Graduates receive the Altaris AI Academy Diploma in ai-product — a verifiable credential with a unique certificate number you can publish on LinkedIn and that any employer can verify at altarisai.org/verify.
What is the refund policy?▾
Full refund within 30 days of enrollment, no questions asked. After day 30, prorated refunds are available per our Refund Policy.
Who teaches the program?▾
Working Canadian AI practitioners — not academics. Every module is built and reviewed by a lead instructor working in the field today.