Executive AI Programs & Credentials Roadmap
This roadmap is built for a Global Business Development Executive in capital-intensive industrial and mining markets — not for a software engineer. It deliberately excludes developer certifications (e.g., AI-102, which is a Python/C# coding exam) because they do not match the role, the seniority, or the value this person creates. See Sources & Verification for how every item below was validated.
Selection Criteria
- Executive-relevant: strategy, governance, and commercial value — not coding
- Industry-aligned: applicable to mining, heavy industry, energy, and industrial B2B
- Board-credible: recognized names that carry weight with a CEO, ELT, and Board
- Verifiable: every program links to its official source page
Tier 0 — Free & Low-Cost Path (Start Here)
Verified, trusted, and free (or free-to-audit). Ideal if you're between roles and can't invest upfront. Full source links in Sources & Verification.
| Priority | Resource | Provider | Cost | Why It Fits |
|---|---|---|---|---|
| 1 | AI for Business Specialization (incl. AI Strategy and Governance) | Wharton / UPenn (Coursera) | Free to audit | Same faculty caliber as the paid Wharton program; covers strategy, applications, governance |
| 2 | AI for Everyone (Andrew Ng) | DeepLearning.AI (Coursera) | Free to audit | Best non-technical AI strategy primer for leaders |
| 3 | Google AI Essentials | Free (+ free certificate) | Fast, practical, résumé/LinkedIn-ready credential | |
| 4 | Elements of AI | University of Helsinki | Free (+ free certificate) | Solid foundations with a free certificate |
| 5 | Microsoft Learn AI paths | Microsoft | Free | Free applied-skills credentials and AI-900 prep |
Complete the free path first. Only invest in a paid executive program (Tier 1) once you're employed or have a clear ROI — e.g., an employer willing to sponsor it.
Tier 1 — Executive AI Strategy Programs (Primary Path)
Every paid program below has a verified free alternative in the new Free & Low-Cost Path section. If you're between roles, start there — the free-audit Wharton AI for Business specialization covers strategy, applications, and governance at no cost.
These are the highest-value fit for a VP of Business Development with an MBA and Wharton CSO background.
| Priority | Program | Provider | Format | Why It Fits This Profile |
|---|---|---|---|---|
| 1 | Artificial Intelligence: Implications for Business Strategy | MIT Sloan Executive Education | ~6 weeks online, non-technical | Strategy-first, builds an AI roadmap for your own organization; ideal for ELT/Board-level decisions |
| 2 | AI Strategy and Decision Making / AI for Business | Wharton Executive Education | Self-paced online | Natural extension of his Wharton CSO program; decision frameworks + responsible AI governance |
| 3 | AI Strategies for Business Transformation (Generative & Agentic) | Kellogg Executive Education | ~8 weeks online | Vertical/industry AI applications, AI Canvas 2.0, AI Radar 2.0, capability maturity model — directly usable for growth strategy |
He already completed the Wharton Chief Strategy Officer Program (2024-2025). The Wharton AI offering above is a coherent continuation of that relationship and credential stack.
Tier 2 — Optional Literacy Baseline (Low Cost, Fast)
Useful only as a cheap, non-coding shared-language baseline with technical teams. Not a career driver for this profile.
| Program | Provider | Note |
|---|---|---|
| AI-900: Azure AI Fundamentals | Microsoft | Real, current (skills measured as of May 2, 2025); non-coding; ~1 day of prep. Optional. |
Tier 3 — Governance & Negotiation (Role-Critical Depth)
For contract-heavy, cross-jurisdiction industrial deals, governance literacy matters more than any technical cert.
| Focus | Anchor Frameworks (primary sources) |
|---|---|
| AI governance for leaders | NIST AI Risk Management Framework (AI RMF 1.0), ISO/IEC 42001 |
| Regulatory exposure (Europe operations) | EU AI Act (Regulation 2024/1689) |
| AI in contracts | IP, liability, data-use, and auditability clauses (executive legal upskilling) |
All framework sources are listed and linked in Sources & Verification.
What This Roadmap Deliberately Excludes (and Why)
| Excluded | Reason |
|---|---|
| AI-102 (Azure AI Engineer) | Developer exam requiring Python/C#; wrong altitude for a VP of BD |
| AZ-104 / AZ-305 / AZ-700 / SC-500 | Cloud engineering/architecture/security certs — not aligned to a commercial-growth executive |
| Deep ML / model-building tracks | Low executive ROI; delegate to technical teams |
Suggested Sequence (12 Months)
| Window | Focus |
|---|---|
| Months 1-2 | (Optional) AI-900 baseline + MIT Sloan program enrollment |
| Months 2-4 | MIT Sloan AI: Implications for Business Strategy |
| Months 4-6 | Wharton AI Strategy and Decision Making |
| Months 6-9 | Kellogg AI Strategies for Business Transformation |
| Months 9-12 | Governance + AI-in-contracts specialization (NIST / ISO 42001 / EU AI Act applied) |