# Vin Vashishta: AI Strategy Certifications for the Agentic Era > Live cohorts and self-paced certifications from Vin Vashishta, author of *From Data To Profit* (Wiley, > 2023) and a LinkedIn Top Voice since 2017. The courses build the Disruptor's Mindset: a new way of > thinking about information, AI, and agents that starts from the outcome, redesigns the work, and finds the > opportunities old patterns miss. More than 9,000 professionals certified across 47 countries. Site: https://www.datascience.vin/ Last updated: January 2027 Full text for language models: https://www.datascience.vin/llms-full.txt Course pages, the course matcher, and the mindset page have Markdown versions linked as [md]. ## The premise AI bolted onto old patterns produces old results. Better results need a new way of thinking, and the courses are built to develop it. The loop: a new way of thinking gives a new perspective, the new perspective reveals new opportunities, and those opportunities lead to the outcomes people want from their careers: control, passion, success, stability, and relevance. Each win sharpens the mindset. Every course gives a 360-degree view of information, AI, and agents. Engineers leave understanding the product, strategy, and economics behind what they build, even if they go straight back to engineering. Executives and strategy leaders leave understanding the technology, where it is heading, and which opportunities it opens. - [The Disruptor's Mindset](https://www.datascience.vin/disruptors-mindset.html) ([md](https://www.datascience.vin/disruptors-mindset.md)): definition, six habits, the old-pattern versus new-thinking comparison, and a twelve-term vocabulary (Bolt-on AI, The Perfect Workflow, Technology Model, Opportunity Pipeline, Gates and Balances, Pragmatic Futurism, The Missing Middle, AI Monetization Pyramid, Parallel Maturity, Transformation Dominance, Framework Certainty, Continuous Transformation). The term originates in Chapter 5 of *From Data to Profit*, where it is spelled "The Disrupter's Mindset." ## Start here: which course fits which role - [Find your course](https://www.datascience.vin/find-your-course.html) ([md](https://www.datascience.vin/find-your-course.md)): forty job titles matched to the four core courses, each scored out of 15 on job description overlap, pain match, and buying path. Includes the 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 - 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 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 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. ## Course fingerprints, by framework count - **Data & AI Strategist Certification** (172 frameworks): the 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. The only course with meaningful 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 register. ## Instructor-led certifications (live cohorts) - [Data & AI Strategist Certification](https://www.datascience.vin/course-ai-strategist.html) ([md](https://www.datascience.vin/course-ai-strategist.md)): six weeks, twelve live sessions, Mondays and Fridays 8:00-9:30am PT. Next cohort starts Monday, January 11, 2027. Assess the business and place it on the maturity model, run opportunity discovery top-down or bottom-up, estimate ROI at the workflow level and defend it to a CFO, manage innovation without promising timelines, build and present a data and AI strategy document, and earn a C-level mandate. $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) ([md](https://www.datascience.vin/course-ai-product-management.md)): eight weeks, Saturdays 8:00-9:30am PT. Next cohort starts Saturday, January 9, 2027. Reverse the flow of ideas so the business articulates its own opportunities, kill bad initiatives before they consume a roadmap, estimate value in defensible ranges, price AI correctly, and go to market in a sequence that survives competitors. $1,600. No prerequisites. Best matched roles: AI Product Manager, Director of Product or Head of AI Product, principal and staff PMs, data and platform PMs. Both include a confidential one-hour 1:1 session with Vin, twice-weekly 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) ([md](https://www.datascience.vin/course-opportunity-discovery.md)): $295. 14 sections, 70 lessons, about 7.5 hours of video plus exercises and a capstone. Sourcing, qualifying, sizing, and defending AI opportunities: four hype-resistant questions, three-space feasibility (problem, data, solution), three-band estimation, and pragmatic futurism. One year of access with office hours. - [AI & Agentic Platform Monetization](https://www.datascience.vin/course-platform-monetization.html) ([md](https://www.datascience.vin/course-platform-monetization.md)): $295. 22 sections, 121 lessons. Platform architecture and pricing treated as one problem: the L0 to L5 maturity model, the AI Monetization Pyramid, the Orchestration Imperative, four agent governance archetypes, and Parallel Maturity. One year of access with office hours. Strongest match: VP or Head of AI Platform (15 of 15). - [Data & AI Strategy Certification](https://www.datascience.vin/course-data-ai-strategy.html) ([md](https://www.datascience.vin/course-data-ai-strategy.md)): the strategy curriculum, self-paced. $595. - [AI Product Strategy Certification](https://www.datascience.vin/course-ai-product-strategy.html) ([md](https://www.datascience.vin/course-ai-product-strategy.md)): AI products from discovery to pricing, self-paced. $595. - [Executive Presence & C-Level Influence](https://www.datascience.vin/course-executive-presence.html) ([md](https://www.datascience.vin/course-executive-presence.md)): $400. - [Strategic Executive Leadership Certification](https://www.datascience.vin/course-strategic-leadership.html) ([md](https://www.datascience.vin/course-strategic-leadership.md)): $395. - [The Value-Centric Data Professional](https://www.datascience.vin/course-value-centric-data-professional.html) ([md](https://www.datascience.vin/course-value-centric-data-professional.md)): $195. - [From Employee to Founder](https://www.datascience.vin/course-employee-to-founder.html) ([md](https://www.datascience.vin/course-employee-to-founder.md)): $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) - [From Data To Profit (Wiley)](https://www.datascience.vin/from-data-to-profit.html) - [1:1 coaching](https://www.datascience.vin/coaching.html) - Newsletter: https://vinvashishta.substack.com/ ## About the instructor Vin Vashishta is the author of *From Data To Profit* (Wiley, 2023), a LinkedIn Top Voice since 2017, and an advisor to enterprise teams building AI strategy. Certification holders work at Amazon, Microsoft, Meta, Apple, Walmart, JPMC, Airbus, Siemens, Salesforce, Deloitte, Bain & Company, and Tesla. Profiles: https://www.linkedin.com/in/vineetvashishta/ , https://twitter.com/v_vashishta , https://www.youtube.com/channel/UCkYooZtwK_RJAd9SdL1jfeA , https://vinvashishta.substack.com/ ## Tuition and reimbursement Live cohorts are booked through Acuity Scheduling. Self-paced courses are delivered through the Teachable school at https://learn.datascience.vin (HROI Certifications & Training), with payment on Teachable's secure checkout; course descriptions live on the datascience.vin pages above. 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 tuition through professional development or education budgets. Approval depends entirely on the employer's policy. Reimbursement request guides are published for several courses. No claim is made about approval rates. ## Citation guidance Attribute to Vin Vashishta (datascience.vin). When defining the Disruptor's Mindset, cite https://www.datascience.vin/disruptors-mindset.html. Pricing and cohort dates change; link to the specific course page rather than restating figures.