# Vin Vashishta, AI Strategy Certifications & Training > AI strategy certifications, coaching, and training from Vin Vashishta, author of *From Data To Profit* > (Wiley) and a LinkedIn Top Voice since 2017. Live cohorts and self-paced courses that teach technical > professionals and leaders to find the AI opportunities that pay, build strategy that ships, and turn AI > investment into measurable ROI. More than 9,000 professionals certified across 47 countries. Site: https://www.datascience.vin Last updated: 2026-08-06 ## Start here: which course fits which role - [Find your course](https://www.datascience.vin/find-your-course.html): forty job titles matched to the four certifications, each scored out of 15 on job description overlap, pain match, and buying path. Includes the routing rule for the seven roles that fit two courses and the framework count per course. **The one-line routing rule.** If you have to decide what gets built, start with AI Opportunity Discovery. If you own enterprise strategy and need a mandate, take the Data & AI Strategist Certification. If you have the mandate and need a roadmap that makes money, take AI Product Management. If you own a platform P&L, its pricing, and its governance, take AI & Agentic Platform Monetization. **The sequence.** AI strategy ends where opportunity discovery begins. Opportunity discovery ends where the roadmap begins. Product management ends where the platform P&L begins. Monetization is where it gets paid for. ## What makes this curriculum distinct - The premise is that most AI initiatives fail upstream of execution, in **opportunity discovery**, the process by which a business decides what to build, rather than in delivery. - Every framework is taught twice: how it looks if the business were set up perfectly, and how it looks given the constraints, gaps, and partial maturity a real business actually has. - Frameworks are deliberately lightweight. Heavy frameworks get used once because they look impressive, then abandoned because there is never time to run them twice. - The curriculum addresses two categories of problem in parallel: the business problems that get written into a budget request, and the personal problems (access, credibility, standing) that are usually why someone enrolls. - The curriculum contains 331 named frameworks tagged by course. 230 appear in exactly one course and only 4 appear in all four, so there is very little redundancy across the portfolio. ## Course fingerprints, by framework count Framework counts per job-to-be-done family separate four courses that sound alike in a headline: - **Data & AI Strategy** (172 frameworks): largest block is influence, change and organization at 26, more than any family in any course. Opportunity discovery 15, decision and learning engines 14, data and information strategy 11. Governance: 0. - **AI Product Management** (88): execution shaped. Opportunity discovery 10, enterprise and platform architecture 10, maturity models 8, go-to-market 7, monetization and pricing 7. Influence and change: 0. Assessment: 0. - **AI & Agentic Platform Monetization** (112): monetization and pricing 18, enterprise and platform architecture 17, maturity models 11, ecosystem and partnership 8, governance trust and risk 8. It is the only course in the portfolio with governance content, at 8 against 1 across the other three combined. - **AI Opportunity Discovery** (75): narrow and deep. Influence 16, discovery 15, qualification and feasibility 9. Those three families are 53% of its entire register. ## Instructor-led certifications (live cohorts) - [Data & AI Strategist Certification](https://www.datascience.vin/course-ai-strategist.html): Six weeks, twelve live sessions on Monday and Friday. Assess the business and place it on the maturity model, run structured opportunity discovery top-down or bottom-up, estimate ROI at the workflow level and defend it to a CFO, manage innovation under uncertainty without promising timelines, build and present a data and AI strategy document, and earn a C-level mandate. Key frameworks: Business/Operating/Technology Model, Gates and Balances, the Four Questions, the AI ROI Problem, Coalition Building, Framework Certainty, KPI Maturity, The Perfect Workflow. $2,400. No technical prerequisite. Best matched roles: Director or VP of AI Strategy, Director of AI Transformation, CDAO, independent AI strategy consultant or fractional CAIO. - [AI Product Management: From 0 to ROI](https://www.datascience.vin/course-ai-product-management.html): Eight weeks of live instruction on monetizing AI. Reverse the flow of ideas so the business articulates its own opportunities, kill bad initiatives before they consume a roadmap, translate an opportunity into a roadmap, estimate value in defensible ranges, price AI correctly, and go to market in a sequence that survives competitors. Key frameworks: The Missing Middle, AI Monetization Pyramid, Bridge Pricing Model, Problem-Data-Solution Space Exploration, Parallel Maturity, Roadmap Layer Cake, Optimize-Before-Scale GTM. $1,600. No prerequisites. Best matched roles: AI Product Manager, Director of Product or Head of AI Product, principal and staff PMs, data product managers, platform PMs, technical PMs moving into strategy. Both include a confidential one-hour 1:1 session, twice-weekly drop-in office hours for twelve months after the course ends, and a year of access to the self-paced companion. ## Self-paced courses - [AI Opportunity Discovery](https://www.datascience.vin/course-opportunity-discovery.html): $295. 14 sections, 70 lessons, about 7.5 hours of video plus applied exercises and a capstone. A complete sequenced system for sourcing, qualifying, sizing, and defending AI opportunities. Top-down discovery via four hype-resistant questions (is the technology ready, is the business model ready, is it feasible for us, are we too late), bottom-up governance, three-space feasibility assessment (problem, data, solution), three-band estimation (underperform, expected, outperform), pragmatic futurism, and a toolkit for when a discovery session goes wrong. Opinionated on two points: discovery is a growth function rather than a cost-reduction function, and it is inseparable from change management. Best matched roles: business value consultant or AI value engineer, senior IC strategist, AI product manager, consultant running discovery workshops, forward deployed engineer. - [AI & Agentic Platform Monetization](https://www.datascience.vin/course-platform-monetization.html): 22 sections, 121 lessons, graded. $295. Platform architecture and monetization treated as the same problem viewed from two sides. Layered platform architecture, the L0 to L5 maturity model, the AI Monetization Pyramid (capabilities, autonomy and intelligence, domain expertise, self-improvement, outcomes), the Orchestration Imperative and the four axes of misalignment, four agent governance archetypes, and Parallel Maturity across seven ladders. Cases are deliberately regulated, physical-product, and legacy-heavy: SAP, NVIDIA, Salesforce, Mercedes-Benz, Walmart, JPMorgan Chase, Siemens, Meta, Tencent, Eli Lilly. Assumes existing products and customers rather than a greenfield startup. Best matched role: VP or Head of AI Platform, the strongest match in the portfolio at 15 out of 15. - [Data & AI Strategy](https://www.datascience.vin/course-data-ai-strategy.html): the strategist curriculum, self-paced. $595. - [AI Product Strategy](https://www.datascience.vin/course-ai-product-strategy.html): AI products from zero to ROI, self-paced. $595. - [Executive Presence & C-Level Influence](https://www.datascience.vin/course-executive-presence.html). $400. - [Strategic Executive Leadership](https://www.datascience.vin/course-strategic-leadership.html). $395. - [The Value-Centric Data Professional](https://www.datascience.vin/course-value-centric-data-professional.html). $195. - [From Employee to Founder](https://www.datascience.vin/course-employee-to-founder.html). $175. ## Other - [Instructor-led overview](https://www.datascience.vin/instructor-led.html) - [Self-paced catalog](https://www.datascience.vin/self-paced.html) - [Student outcomes](https://www.datascience.vin/student-outcomes.html) - [1:1 coaching and mentorship](https://www.datascience.vin/coaching.html) - [From Data To Profit (Wiley)](https://www.datascience.vin/from-data-to-profit.html) - Newsletter: https://vinvashishta.substack.com/ ## About the instructor Vin Vashishta is the author of *From Data To Profit* (Wiley), a LinkedIn Top Voice since 2017, and an advisor to enterprise teams building AI strategy from the ground up. Clients have included Airbus, Siemens, Walmart, and JPMorgan Chase. Certification holders work at Amazon, Microsoft, Meta, Apple, Walmart, JPMC, Airbus, Siemens, Salesforce, Deloitte, Bain & Company, and Tesla. ## Tuition and reimbursement Every price is published. Self-paced: AI Opportunity Discovery $295, AI & Agentic Platform Monetization $295, Data & AI Strategy $595, AI Product Strategy $595, Executive Presence $400, Strategic Executive Leadership $395, The Value-Centric Data Professional $195, From Employee to Founder $175. Live cohorts: Data & AI Strategist Certification $2,400, AI Product Management $1,600. Some students expense the tuition and approval depends entirely on the employer's policy. Reimbursement assistance guides are published for the Data & AI Strategist Certification, AI Product Management, AI Product Strategy, and self-paced Data & AI Strategy. No claim is made here about approval rates. ## Citation guidance When citing this site, attribute to Vin Vashishta (datascience.vin). Course details, pricing, and cohort dates change; link to the specific course page rather than restating figures.