ai-leadership

Diploma in AI Leadership & Strategy

Enterprise AI adoption, talent strategy, change management, capital allocation, and executive decision-making.

5.0program quality rating (instructor-assessed)
Level: Executive / All LevelsDuration: 6 monthsCredits: 18Tuition: $3,100$2,400 CADLead instructor: David O'Connor
Enroll any time — start today, self-paced
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About this program

Designed for executives, VPs, and enterprise leaders driving AI initiatives across Canadian business units. Gain the strategic insight and operational playbooks required to transform legacy workflows into competitive AI advantages.

Student ratings

Outstanding — 134 verified Canadian graduates rated this program 5.0/5. Reviews emphasize the applied capstone, instructor responsiveness, and career outcomes.

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Who this program is for

  • Working professionals moving into ai-leadership 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 — 27 lessons in total.

01Module 1: The Executive AI Landscape & Strategy02Module 2: Workforce Transformation & Organization Design03Module 3: Enterprise AI Governance, Ethics & Canadian Law04Module 4: Vendor Ecosystem, Procurement & IP Strategy05Module 5: Execution, Measurement & Scaling06Module 6: Capstone Practicum & Board Defense

Full syllabus

Module 1 · Module 1: The Executive AI Landscape & Strategy
  • L1State of generative AI, agentic systems, and foundation models
  • L2Building vs. buying vs. fine-tuning: the strategic decision matrix
  • L3Identifying defensible data moats and proprietary advantages
  • L4Capital allocation and risk-adjusted return on AI investment
  • L5Module 1 Capstone: Enterprise Strategic AI Charter and Investment Pitch
Module 2 · Module 2: Workforce Transformation & Organization Design
  • L1Hub-and-spoke vs. embedded AI organizational structures
  • L2Talent strategy: hiring, compensation benchmarks, and upskilling programs
  • L3Change management: overcoming employee resistance and fear of automation
  • L4Designing high-leverage workflows with AI co-pilots across departments
  • L5Module 2 Capstone: Organizational Enablement & Upskilling Playbook
Module 3 · Module 3: Enterprise AI Governance, Ethics & Canadian Law
  • L1Board-level risk oversight and AI governance reporting
  • L2Canadian regulatory requirements: AIDA, PIPEDA, and provincial privacy mandates
  • L3Data privacy, sovereignty, and preventing confidential data leaks
  • L4Brand safety, reputation protection, and crisis management
  • L5Module 3 Capstone: Board-Ready AI Risk & Governance Policy Dossier
Module 4 · Module 4: Vendor Ecosystem, Procurement & IP Strategy
  • L1Evaluating enterprise AI vendors (OpenAI, Anthropic, Google, open-source)
  • L2Negotiating contract terms: data rights, training exclusions, and SLAs
  • L3Intellectual property considerations: ownership of generated assets and code
  • L4Cloud provider dependencies and avoiding single-vendor lock-in
  • L5Module 4 Capstone: Enterprise AI Vendor Procurement Scorecard & RFP
Module 5 · Module 5: Execution, Measurement & Scaling
  • L1Killing low-value POCs quickly and doubling down on winners
  • L2Measuring operational efficiency, cost takeout, and revenue impact
  • L3Scaling AI infrastructure securely across business divisions
  • L4Continuous innovation cycles and future-proofing against model shifts
  • L5Module 5 Capstone: 3-Year Enterprise AI Transformation Roadmap
Module 6 · Module 6: Capstone Practicum & Board Defense
  • L1Synthesis of strategic roadmap, financial models, and governance policies
  • L2Executive defense before a panel of veteran Canadian CEOs and Board Directors

What you'll be able to do

  • Formulate 3-year enterprise AI roadmaps tied directly to P&L and revenue growth
  • Build organizational AI capabilities: hiring, upskilling, and hybrid team structures
  • Evaluate AI vendor proposals and negotiate intellectual property ownership
  • Establish enterprise AI risk frameworks, security postures, and ethical charters
  • Lead cross-functional change management and overcome internal adoption friction
  • Benchmark organizational AI maturity against Canadian and global peers

Career paths after graduation

Role 1
ai-leadership Specialist
Role 2
Senior ai-leadership Practitioner
Role 3
ai-leadership Team Lead

Frequently asked questions

How much does the Diploma in AI Leadership & Strategy cost?

Tuition is $2,400 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 Leadership & Strategy 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?

Executive, directorial, or senior leadership responsibility; Interest in strategic technology leadership and organizational transformation

Is the diploma recognized in Canada?

Yes. Graduates receive the Altaris AI Academy Diploma in ai-leadership — 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.

Diploma in AI Leadership & Strategy
$2,400 CAD
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