Lead AI transformation at the board level
The Brown Tech AI Executive credential equips senior leaders to design enterprise AI strategy, architect responsible governance, and defend high-stakes decisions — backed by a portfolio that proves executive-grade competency, not just familiarity.
I will treat you as a peer accountable for real decisions — because the only credential worth having is one backed by work that would survive a board review.— Pauline Brown Smith, EdD
What you'll learn
What you'll be able to do
- Design and defend a comprehensive enterprise AI strategy integrating machine intelligence, autonomous systems, and quantum-era readiness to an executive review board
- Build and present a Brown Tech Master AI Portfolio including a governance framework, KPI dashboard, enterprise risk register, and a 5-/10-/20-year AI transformation roadmap
- Architect a responsible AI governance structure that satisfies regulatory, cybersecurity, ethics, and human-oversight requirements across the full model lifecycle
- Lead human–AI collaboration initiatives that measurably augment workforce capability while preserving appropriate human accountability and operational safety
- Establish AI innovation laboratory protocols for evaluating generative AI, autonomous agents, and robotics deployments using structured, evidence-based engineering practices
- Conduct AI assurance reviews and continuous improvement cycles — assessing governance maturity, model performance, data quality, and organizational resilience — and translate findings into board-level recommendations
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 30 lessons
Foundations of Advanced AI, Autonomous Systems, and Quantum Technologies
Establishes the executive knowledge base spanning machine intelligence, autonomous systems, and quantum-era readiness that underpins all strategic decisions throughout the credential.
- 1.1Machine Intelligence for Executive Decision-MakersIncluded
- 1.2Autonomous Systems and Intelligent AgentsIncluded
- 1.3Quantum Technologies and AI ReadinessIncluded
- 1.4Generative AI: Capabilities, Limits, and Executive JudgmentIncluded
- 1.5Integrated Executive AI Leadership FrameworkIncluded
Responsible AI Governance and Cybersecurity
Equips executives to architect governance structures that satisfy regulatory, ethics, cybersecurity, and human-oversight requirements across the full AI model lifecycle.
- 2.1AI Governance Architecture and Regulatory LandscapeIncluded
- 2.2Ethics, Fairness, and Responsible AI PrinciplesIncluded
- 2.3AI Cybersecurity Strategy and Risk PostureIncluded
- 2.4Human Oversight, Accountability, and Safety ControlsIncluded
- 2.5Model Lifecycle Management and Documentation StandardsIncluded
AI Innovation Laboratories and Human–AI Collaboration
Provides structured protocols for evaluating AI systems in controlled environments and designing collaboration models that measurably augment workforce capability.
- 3.1Designing an AI Innovation Laboratory FrameworkIncluded
- 3.2Evaluating Robotics and Simulation PlatformsIncluded
- 3.3Human–AI Collaboration Models and Workforce AugmentationIncluded
- 3.4Stakeholder Engagement and Change Leadership for AI InitiativesIncluded
- 3.5Brown Tech AI Innovation Portfolio: Laboratory and Collaboration DeliverablesIncluded
AI Assurance, Continuous Improvement, and Organizational Resilience
Builds the executive's capacity to run structured assurance reviews, interpret model performance data, and translate findings into board-ready improvement recommendations.
- 4.1AI Assurance Reviews: Structure and ExecutionIncluded
- 4.2Model Performance Monitoring and Data Quality ManagementIncluded
- 4.3Continuous Improvement Cycles and Governance MaturityIncluded
- 4.4AI Assurance Scorecard and Executive KPI DashboardIncluded
- 4.5Enterprise Risk Register and Operational Resilience PlanningIncluded
Enterprise AI Strategy and Phased Implementation
Guides executives through designing, stress-testing, and communicating a board-grade enterprise AI strategy with phased roadmaps and investment prioritization.
- 5.1Enterprise AI Strategy Blueprint DesignIncluded
- 5.2Phased Implementation Planning and Investment PrioritizationIncluded
- 5.3, 10-, and 20-Year AI Transformation RoadmapIncluded
- 5.4Machine Intelligence Roadmap and Innovation PipelineIncluded
- 5.5Board Presentation: Communicating AI Strategy at the Executive LevelIncluded
Executive AI Strategy Capstone and Master Portfolio Defense
Integrates all credential work into a defended Master AI Portfolio and simulated board review, certifying executive-grade AI strategy competency under the Brown Tech Professional Credential standard.
- 6.1Brown Tech Master AI Portfolio: Assembly and IntegrationIncluded
- 6.2Executive Competency Verification: Case Studies and Governance ReviewsIncluded
- 6.3Reflective Leadership Journal and AI Transformation NarrativeIncluded
- 6.4AI Portfolio Defense SimulationIncluded
- 6.5Chapter Summary: Unified Executive AI LeadershipIncluded
Who it's for
Is this you?
Chief Technology Officers
Needs a structured governance and strategy architecture to elevate AI from engineering delivery to board-level competitive positioning.
Chief Information Officers
Responsible for enterprise AI infrastructure decisions and must command regulatory, cybersecurity, and model lifecycle governance with precision.
Chief Data Officers
Owns the data foundation AI runs on and needs the assurance, quality management, and governance maturity frameworks to defend it to a board.
Aspiring C-Suite Leaders
Senior directors and VPs building the executive AI competency portfolio that will credibly position them for a CTO, CIO, or CDO role.
Chief Operating Officers
Deploying AI and autonomous systems at operational scale and accountable for the human oversight, safety controls, and workforce transformation that comes with it.
Enterprise Strategy Executives
Building or stress-testing the long-range AI transformation roadmap and needs a rigorous framework for phased implementation and investment prioritization.
Questions
Frequently asked
Your teacher
A note from your teacher
Pauline Brown Smith, EdD
If you are reading this, you are probably already being asked to lead something significant with AI — a transformation initiative, a governance review, a board presentation — and you are aware that most of what is available to help you was built for someone else. It was built for developers, or for generalist managers taking a survey course, or for organizations so early in their AI journey that the real governance and risk complexity hasn't arrived yet. You are past all of that.
You are operating in an environment where autonomous systems are being deployed, where generative AI is already inside your organization whether you sanctioned it or not, where the regulatory landscape is shifting under your feet, and where the board is asking questions you need precise answers to. The penalty for strategic vagueness at this level is not a poor grade — it is organizational exposure.
Brown Tech AI Executive was built from that reality, not from a curriculum template. Every element of the program — the governance architecture work, the AI assurance review structure, the innovation laboratory framework, the portfolio defense — was designed to produce outputs that function inside a real organization. The governance framework you build is one you can implement. The risk register is one you can present. The 5-, 10-, and 20-year roadmap is one that will survive scrutiny from a CFO who has seen too many technology promises fail to deliver.
I will treat you as a peer accountable for real decisions, because that is what you are. This is a demanding program. I will not apologize for the rigor, and you won't want me to — because the credential only means something if the work behind it is credible. What I can offer you is a structured, evidence-based path through every dimension of enterprise AI leadership that matters right now: strategy, governance, assurance, innovation, and board-level communication.
If you are ready to build the portfolio that demonstrates — not just signals — executive AI competency, I would be glad to have you in the room.
— Pauline Brown Smith, EdD
Start your journey today
Join get instant access — learn at your own pace with an AI coach in your corner.
$297/mo
Recurring billing · cancel anytime
Secure checkout · Instant access
- 6 modules, 30 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed