Vin Vashishta / HROI
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Self-Paced/Data & AI Strategy Certification
Self-Paced Certification · Core Discipline

Data & AI Strategy Certification

Learn critical frameworks to turn data & AI into revenue & cost savings. Build the top-level strategy that aligns the firm — the same frameworks Vin has used to build data and AI strategies for 10 of the largest companies in the world.

Enroll now → See the curriculum
Self-paced · enroll anytime
FormatOn-demand video + exercises
Content16 modules · 15+ hours
Access1 year + 2 office hours/wk
Tuition$595
  • Over 15 hours of instruction across dozens of frameworks
  • Office hours twice a week for deeper dives
  • Content continuously updated with new case studies
  • Optional 1:1 support available
Enroll now →
01Who it's for

Built for technical and
non-technical backgrounds.

People who get the most out of this course have 3-5 years working on a data team or data and AI initiatives. No previous strategy coursework or technical background is required.

01

Technical individual contributors without a business background

02

Current business leaders and strategists transitioning into AI Strategy roles

03

Data professionals ready to become a strategic partner to C-level leaders

04

Anyone who needs innovation strategy, culture change, and opportunity discovery frameworks without the jargon

0216 modules, connected

The curriculum.

From the first AI strategy case study through KPI maturity — every module builds toward a strategy you can actually implement. Tap any module to expand.

Module 01
Introduction
8 lessons
  1. Course Introduction
  2. Why Do We Use Systems, Models, & Frameworks For Strategy?
  3. What Is An AI Strategy?
  4. A Real-World AI Strategy: SK Telecom
  5. What Happens Without An AI Strategy
  6. McDonald's Case Study: Where Does Data & AI Strategy Start?
  7. McDonald's Drive-Through Case Study
  8. Building A Data & AI Strategy
Module 02
Business Fundamentals In The Data Age
9 lessons
  1. The Business Model
  2. Examples Of Real World Business Models
  3. The Operating Model
  4. The Technology Model
  5. The Value Stream
  6. Competitive Analysis
  7. Introduction To KPIs
  8. KPI Maturity
  9. Key Definitions And Terms
Module 03
Integrating Data & AI Strategy Into Business Strategy
7 lessons
  1. The Technology Model: Where To Begin?
  2. Why Does The Business Need Data Analytics & AI Strategies?
  3. Data Strategy: Definition & Objectives
  4. AI Strategy: Definition & Objectives
  5. The Data Monetization Catalog
  6. Case Study: What Happens When Technical Strategy Doesn't Align With Business Strategy?
  7. Case Study: Apple Using Data As A Competitive Advantage
Module 04
Culture Change Frameworks
7 lessons
  1. Justifying The Need For Change
  2. Why People Resist Change & How To Fix It
  3. Evolutionary Decision Making
  4. Introduction To The Continuous Improvement Flywheel
  5. Time Travel: Why We Say Can Sound Ridiculous
  6. The Implications Of Extending Decision Time Horizons
  7. Wrapping Up & Connecting To The Business
Module 05
Managing Innovation
4 lessons
  1. Introduction & Business Problems To Solve
  2. The Disruptor's Mindset
  3. Solving For Uncertainty & Risks That Come With Innovation
  4. Justifying Innovation Realities & Costs To The CFO
Module 06
Strategy Planning
3 lessons
  1. The Story of Retail Pt. 1
  2. The Story of Retail Pt. 2
  3. Implications Of Data On Strategy Planning
Module 07
Strategy Implementation
6 lessons
  1. Case Study: The Cautionary Tale Of Zillow
  2. Why Is Transformation So Hard?
  3. Case Study: Data & AI Maturity Drivers
  4. Getting Buy In From Senior Leadership
  5. Collaborating With External Teams
  6. Case Study: What Happens When Data Science Initiatives Fail?
Module 08
Using AI For Operating Model Optimization
4 lessons
  1. The Core-Rim Model
  2. Where Do People Fit?
  3. The 3 Main People Groups
  4. The Implications Of Reducing Operating Complexity
Module 09
Data Science & Strategy
7 lessons
  1. Becoming A Strategic Partner
  2. Decision Support Systems & KPIs
  3. The Data Science Value Stream
  4. Case Study: Microsoft's Initial AI Product Strategy
  5. Capabilities Based Competition
  6. Case Study: TikTok vs Google. Competing On Best In Class Capabilities
  7. Case Study: Exploring Partnerships For Capabilities Acquisition
Module 10
A Unified View Of Enterprise Transformation
3 lessons
  1. AI Transformation Roadmap: Capabilities
  2. AI Transformation Roadmap: Strategy Planning & Implementation
  3. AI Transformation Roadmap: Talent & Infrastructure
Module 11
AI Platform Strategy
8 lessons
  1. Introduction To The 4 Main Business Platforms
  2. Building T-Shaped Platforms With Multiple Technologies
  3. SAP & OpenAI Case Studies
  4. Introduction To The Capabilities Maturity Models
  5. Calculating ROI For AI Initiatives
  6. ROI Calculation Exercises
  7. The Product, Data, & Design Maturity Models
  8. Advanced Capabilities Maturity Levels
Module 12
Assessing the Business
9 lessons
  1. Introduction To The Assessment Framework
  2. Culture
  3. Leadership Commitment
  4. Operations & Structure
  5. Skills And Competencies
  6. Analytics-Strategy Alignment
  7. Proactive Market Orientation
  8. Employee Empowerment
  9. Opaque VS Transparent & Justifying Early Initiatives
Module 13
Solving The Business's AI Last Mile Problem
4 lessons
  1. The AI Last Mile Problem
  2. Introduction To The AI Governance Framework
  3. Commercialization & Monetization Phases
  4. Productization Phase
Module 14
Data Product Strategy
7 lessons
  1. Introduction To Data Product Strategy
  2. Monetization Phase
  3. Productization Phase
  4. Commercialization Phase
  5. Key Implementation Points
  6. Messaging And Executive Communications Framework
  7. Implementation Cases And Examples
Module 15
Implementation Cases
8 lessons
  1. Implementation Cases Introduction
  2. Implementation Case: Data Strategy
  3. Implementation Case: Data Monetization Catalog
  4. Implementation Case: Analytics Strategy
  5. Implementation Case: AI Strategy
  6. Implementation Case: Transformation Strategy
  7. Implementation Case: AI Governance
  8. Implementation Case: Pulling 3 Concepts Together
Module 16
Decision Support Systems & KPI Maturity
7 lessons
  1. The KPI Maturity Model
  2. Introduction To Decision Support Platforms
  3. Case Study: Decision Chains & ROI
  4. Case Study: Gathering Decision Support Data
  5. Introduction To AI Strategy KPI Categories
  6. KPI Selection & Implementation
  7. AI Strategy KPIs
03Why get certified

What it does for
your career.

Benefits

  • Data & AI Strategy Roles Are Seeing Rising Demand & High Salaries
  • Get Access To A High-End Career Path With More Options For Advancement
  • The Frameworks & Case Studies Prepare You To Interview Successfully
  • Greater Security From Automation, Layoff Cycles, & Team Reorgs
  • Improve Your Qualifications For Senior Leadership Roles

Advantages

  • An Instructor With Real-World Experience & Multiple Implementations
  • Innovative Course Design Prepares You To Do The Job VS. Memorize Facts
  • Students Report Long-Term Results & Career Impacts
  • Longevity: One Of The 1st Certifications Of Its Kind, With A 5-Year Track Record
  • Exclusivity: Be One Of The Few Professionally Certified AI Strategists
Support that doesn't stop

Your outcomes are the priority.

Support doesn't end when the course is over — you keep office hours and email support.

See student outcomes →
Employer reimbursement

Get reimbursed by your employer.

Most students expense the certification. Use the reimbursement assistance guide to make the case to your manager.

Get the guide →
04What students say

In their words.

"This course changed the trajectory of my career!"

— MashIt

"I loved the real world use cases and Vin's experiences. He made the lessons actionable and relevant."

— FabuFit

"The Data Strategy course teaches concepts I couldn't find anywhere else."

— YesSuits

"I use the frameworks you have told us in every part of my job now, Vin; I wish everyone in the field could take your course."

— Course graduate
05Who's teaching
Content developed from over a decade in AI, working with a range of clients.

Vin Vashishta is the author of From Data To Profit (Wiley) and a LinkedIn Top Voice since 2017. Every framework in this course has been applied in the field — with clients including Airbus, Siemens, Walmart, and JPMC.

9,000+
Professionals certified
208K+
LinkedIn followers
47
Countries represented
700+
Published frameworks
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