Become the leader your organization relies on for high-stakes AI decisions.
AI Business Leadership is the ability to make sound AI decisions amid uncertainty, technical complexity, and rapidly evolving capabilities.
As AI becomes part of how organizations operate, compete, and grow, they can no longer afford a gap between technical expertise and business accountability.
The divide between “AI leaders” and “business leaders” is narrowing.
When no one owns both sides of the equation, alignment weakens and execution slows.
Teams move toward solutions before fully defining the problem.
Trade-offs remain implicit.
Operational risks surface after commitments are underway.
AI amplifies these dynamics because requirements are difficult to define upfront, and course corrections become expensive once direction is set.
Leaders who integrate technical and business perspectives operate with a rare advantage. They understand enough technology to ask the right questions, enough business to define meaningful impact, and enough judgment to act despite ambiguity.
AI Business Leaders are defining a new form of leadership.
Develop this capability to join the top 1% of AI Business Leaders.
What you’ll learn
A systems-first leadership OS for decision velocity, intelligent execution & AI-native transformation
Scope the right AI initiatives with business-first thinking
Identify when uncertainty is acceptable and when it isn’t
What assumptions must be true for AI to work?
How to deal with ambiguous situations, without waiting on perfect data
Separate information that is nice to know from information that is required to decide
Build decision artifacts on "AI / Not AI / Not Yet" with clear rationale
Witness real system behavior so you know exactly where expectations misalign with reality.
Capability vs expectation growth
Distinguish good, bad and premature AI initiatives.
Know when to use RAG, agents, open vs. closed models, and why.
What trade-offs are being made implicitly?
How reversible is this decision? What would cause you to change your mind later?
Identify silent failure modes and downstream consequences
Define explicit kill criteria before pilots begin. Evaluate blast radius and cost of error
Where most orgs go wrong in tracking AI value
Learn directly from Vidhi
Vidhi Chugh
AI Executive & Board Member | Microsoft MVP | AI Patentholder | 150k students
Who this course is for
Enterprise leaders (heads of AI, data, or innovation) asked to sponsor or approve AI initiatives.
Entrepreneurs & Founders who are either building an AI-first company or integrating AI agents into an existing business
Product & Strategy Leaders looking for the tools to prioritize AI opportunities, assess feasibility, and measure ROI effectively
What's included
Live sessions
Learn directly from Vidhi Chugh in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
The Problem-First Discipline
Thinking in AI Systems & Execution Readiness
Week 2
AI Failure Patterns – The Hidden Risks That Can Derail Your AI Initiatives
Live AI System Workflow
Schedule
Live sessions
6 hrs / week
3 hours per day, 2 days over weekend
Async content
2 hrs / week
Pre-read to help accelerate the learning during live-sessions
Frequently asked questions
$2,499
USD
6 days left to enroll