Data & AI Strategy Certification · Self-pacedThink about data and AI the way the C-suite thinks about strategy.
The Data & AI Strategy Certification is a self-paced course by Vin Vashishta, with 16 modules and more than 15 hours of instruction, that teaches you to build a data and AI strategy aligned with business strategy, from the technology model to KPI maturity.
Data and AI strategy fails when it catalogs technology instead of aligning the firm. This certification builds the Disruptor's Mindset from the business model outward, using the frameworks Vin has used to build data and AI strategies for 10 of the largest companies in the world.
What changes in how you think.
The certification moves you from supporting the strategy to shaping it. These are the habits you leave with.
Learn the business side of the board.
Business, operating, and technology models, value streams, KPIs, and competitive analysis, taught for people with no business background.
Learn the technology side of the board.
What data, analytics, and AI can do, how maturity is assessed, how platforms are built, and how AI ROI is calculated.
16 modules, 15+ hours.
From the first AI strategy case study through KPI maturity, every module builds toward a strategy you can implement. Most students have three to five years on a data team or data and AI initiatives. No strategy coursework or technical background required.
Module 01Introduction8 lessons
- Course Introduction
- Why Do We Use Systems, Models, & Frameworks For Strategy?
- What Is An AI Strategy?
- A Real-World AI Strategy: SK Telecom
- What Happens Without An AI Strategy
- McDonald's Case Study: Where Does Data & AI Strategy Start?
- McDonald's Drive-Through Case Study
- Building A Data & AI Strategy
Module 02Business Fundamentals In The Data Age9 lessons
- The Business Model
- Examples Of Real World Business Models
- The Operating Model
- The Technology Model
- The Value Stream
- Competitive Analysis
- Introduction To KPIs
- KPI Maturity
- Key Definitions And Terms
Module 03Integrating Data & AI Strategy Into Business Strategy7 lessons
- The Technology Model: Where To Begin?
- Why Does The Business Need Data Analytics & AI Strategies?
- Data Strategy: Definition & Objectives
- AI Strategy: Definition & Objectives
- The Data Monetization Catalog
- Case Study: What Happens When Technical Strategy Doesn't Align With Business Strategy?
- Case Study: Apple Using Data As A Competitive Advantage
Module 04Culture Change Frameworks7 lessons
- Justifying The Need For Change
- Why People Resist Change & How To Fix It
- Evolutionary Decision Making
- Introduction To The Continuous Improvement Flywheel
- Time Travel: Why We Say Can Sound Ridiculous
- The Implications Of Extending Decision Time Horizons
- Wrapping Up & Connecting To The Business
Module 05Managing Innovation4 lessons
- Introduction & Business Problems To Solve
- The Disruptor's Mindset
- Solving For Uncertainty & Risks That Come With Innovation
- Justifying Innovation Realities & Costs To The CFO
Module 06Strategy Planning3 lessons
- The Story of Retail Pt. 1
- The Story of Retail Pt. 2
- Implications Of Data On Strategy Planning
Module 07Strategy Implementation6 lessons
- Case Study: The Cautionary Tale Of Zillow
- Why Is Transformation So Hard?
- Case Study: Data & AI Maturity Drivers
- Getting Buy In From Senior Leadership
- Collaborating With External Teams
- Case Study: What Happens When Data Science Initiatives Fail?
Module 08Using AI For Operating Model Optimization4 lessons
- The Core-Rim Model
- Where Do People Fit?
- The 3 Main People Groups
- The Implications Of Reducing Operating Complexity
Module 09Data Science & Strategy7 lessons
- Becoming A Strategic Partner
- Decision Support Systems & KPIs
- The Data Science Value Stream
- Case Study: Microsoft's Initial AI Product Strategy
- Capabilities Based Competition
- Case Study: TikTok vs Google. Competing On Best In Class Capabilities
- Case Study: Exploring Partnerships For Capabilities Acquisition
Module 10A Unified View Of Enterprise Transformation3 lessons
- AI Transformation Roadmap: Capabilities
- AI Transformation Roadmap: Strategy Planning & Implementation
- AI Transformation Roadmap: Talent & Infrastructure
Module 11AI Platform Strategy8 lessons
- Introduction To The 4 Main Business Platforms
- Building T-Shaped Platforms With Multiple Technologies
- SAP & OpenAI Case Studies
- Introduction To The Capabilities Maturity Models
- Calculating ROI For AI Initiatives
- ROI Calculation Exercises
- The Product, Data, & Design Maturity Models
- Advanced Capabilities Maturity Levels
Module 12Assessing the Business9 lessons
- Introduction To The Assessment Framework
- Culture
- Leadership Commitment
- Operations & Structure
- Skills And Competencies
- Analytics-Strategy Alignment
- Proactive Market Orientation
- Employee Empowerment
- Opaque VS Transparent & Justifying Early Initiatives
Module 13Solving The Business's AI Last Mile Problem4 lessons
- The AI Last Mile Problem
- Introduction To The AI Governance Framework
- Commercialization & Monetization Phases
- Productization Phase
Module 14Data Product Strategy7 lessons
- Introduction To Data Product Strategy
- Monetization Phase
- Productization Phase
- Commercialization Phase
- Key Implementation Points
- Messaging And Executive Communications Framework
- Implementation Cases And Examples
Module 15Implementation Cases8 lessons
- Implementation Cases Introduction
- Implementation Case: Data Strategy
- Implementation Case: Data Monetization Catalog
- Implementation Case: Analytics Strategy
- Implementation Case: AI Strategy
- Implementation Case: Transformation Strategy
- Implementation Case: AI Governance
- Implementation Case: Pulling 3 Concepts Together
Module 16Decision Support Systems & KPI Maturity7 lessons
- The KPI Maturity Model
- Introduction To Decision Support Platforms
- Case Study: Decision Chains & ROI
- Case Study: Gathering Decision Support Data
- Introduction To AI Strategy KPI Categories
- KPI Selection & Implementation
- AI Strategy KPIs
Straight answers.
+What is Data & AI Strategy Certification?
+How much does it cost, and what's included?
+How long does it take?
+Do I need a technical background?
+Can I expense it?
+Which course should I take?
Built in the field. Refined in the room.
Vin Vashishta is the author of From Data to Profit (Wiley) and has applied every framework in this course with clients including Airbus, Walmart, Siemens, and JPMorgan Chase. More than 9,000 professionals in 47 countries have taken his courses.
“This course changed the trajectory of my career!”
“I loved the real world use cases and Vin's experiences. He made the lessons actionable and relevant.”
“The Data Strategy course teaches concepts I couldn't find anywhere else.”
Create your own opportunities. Define your impact.
Start immediately and keep access for a year, with office hours twice a week. The reimbursement guide helps you make the case for a learning budget; approval is up to your employer.