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After completing this course, you’ll move from being “told to lead AI” to leading with clarity, credibility, and results.

Data & AI Executive, Board Member

Fredy Diaz

Data & AI leader, board member, mentor, US Marine

Spring 2026

Executives and managers are being asked to “have an AI strategy” without clear definitions, approve tools and pilots without confidence they’ll deliver value, balance innovation with risk and governance, and explain AI decisions to boards, auditors, and stakeholders, all without breaking trust or the budget.This course shows you how to lead through that ambiguity.You’ll learn how to define AI strategy in terms executives and boards actually care about, decide where AI should not be used before problems arise, right-size talent without overhiring or creating bottlenecks, evaluate tools objectively without becoming dependent on vendors, and choose projects that can survive procurement, politics, and operational reality. You’ll also learn how to communicate AI clearly, when the stakes are high and scrutiny is real.By the end of five weeks, you’ll have an executive-ready AI strategy, a practical roadmap, and a clear briefing you can use immediately.This course is built for leaders who are done with pilot purgatory, shiny tools with unclear ROI, and strategy decks that collapse at implementation. If you’re responsible for AI outcomes, this course will give you the confidence to deliver.

Lead AI strategy with confidence without getting lost in tools, pilots, or hype

Define AI Strategy with Measurable Outcomes

Build the Right AI Talent & Operating Model

Select Tools That Deliver Real Value

Prioritize High-Impact AI Projects

Communicate your AI Strategy

Senior Executive or Deputy (C-Suite, SES, VP, Director)

AI, Data, or Digital Leader (CDAO, Head of AI, Product, IT, or Innovation)

Business or Program Leader Owning AI Outcomes

You'll think like a senior strategist, run a structured brand strategy, see the real ROI of brand love, build AI tools to enhance your work


Strategy Director at Chill Create 

Uber

GetYourGuide

VICE

Zalando

Dentsu

Selicia Richards-Turney

Strategy Director & Agency Partner at Chill Create & Co-Founder at Power Circles

Cohort 1

Once you have it, you will stop defending your work on taste &amp; start backing it with evidence.Too many brand, marketing &amp; creative professionals are expected to:<ul><li>Design the identity</li><li>Write the copy</li><li>Build the campaign</li><li>Plan the media </li></ul>....without real insights.You do what you can to get the work done - Reddit threads, insights from articles, social media &amp; McKinsey reports. You rush through the foundations because the deadline is already live &amp; you have to get moving.You present your strategy and it gets pulled apart, not because you're not good at what you do but because you're running in execution mode only.The chaos is not a you problem. That's a strategy problem.When there's no strategic foundation, every decision becomes subjective. Anyone in the room can push back.Street Wise Logic - the 3-step brand strategy framework gives you the process to change that.<ul><li>A discovery phase that indicates what product, comms, culture challenges you need to solve</li><li>A custom built AI-powered brand research tool that finds that core tension that you need to really build a brand</li><li>A repeatable system for turning insight into strategic decisions.</li></ul>That's when you become the most strategic person in the room.

Strategy without the guesswork: the thinking, framework & the tools 

Diagnose brand problems with precision

Run a structured brand strategy process

Conduct discovery that actually informs strategy

Build brand positioning from evidence

Build and use your own Brand Strategy GPT

Make brand the centre of every business decision

If you've been in the industry less than 2 years, this course will be more useful after you've had more context to apply it to.


At least 3–4 years of experience in brand, marketing, or a creative role

Some light familiarity with the tools are needed in order to pick up the custom tool builds with out an explanation on how LLMs work

You need access to the most popular  LLM models: Claude, Chat GPT, Gemini

Real or invented. The more genuine it is, the more useful your Brand Strategy GPT will be at the end. W

Prepare a project or brief you want to work on for day 1 homework

An in-house Brand or Marketing Manager ready to move from execution into strategy

A freelance brand strategist or consultant who wants to formalise their process, charge accordingly and deliver work that changes the game

An agency creative or planner who's been doing brand work but has never had a proper strategy framework to hang it on

Learn to design, govern & scale enterprise AI—become a board-ready Chief AI Officer driving measurable impact.

Cohort 2

Cohort 3

Founder & AI Instructor at School of AI

Vivian Aranha

AI architect with 2.2M+ learners, building enterprise-grade agentic systems

Cohort 4

This course is completely asynchronous and available to view at your own convenience. There will be no Live sessions.AI is now a board-level priority—but most organizations struggle to turn AI ambition into real business value. As a current or aspiring Chief AI Officer (CAIO), you face a critical challenge: aligning AI strategy with revenue growth, operational efficiency, governance, risk management, and enterprise-scale execution.Many AI initiatives fail not because of weak technology, but due to unclear strategy, poor data foundations, lack of executive alignment, missing KPIs, and weak governance frameworks. The gap between AI experimentation and enterprise transformation is where most leaders get stuck.This CAIO Mastery program is built to close that gap.You will learn how to design an enterprise AI strategy, define measurable AI KPIs, evaluate ROI, build scalable data and infrastructure foundations, implement MLOps, and lead cross-functional AI transformation.Learn on your schedule with this self-paced course featuring pre-recorded sessions. Enjoy lifetime access, so you can revisit and reinforce your learning whenever needed.

Turn AI into a Board-Level Advantage—Not Just a Technical Experiment

Learn to align AI initiatives with business objectives & competitive advantage.

Develop foundations required for enterprise-scale AI deployment.

Create responsible, compliant, and auditable AI systems.

Drive adoption, culture change, and cross-functional alignment.

Operationalize AI initiatives beyond experimentation.

Strengthen executive communication and C-suite collaboration.

Senior tech or data leader preparing to step into a Chief AI Officer or enterprise AI strategy role.

C-suite executive (CIO, CTO, COO, CDO) driving AI transformation and governance at scale.

Business leader or consultant designing AI strategy, ROI frameworks, and enterprise roadmaps for clients.

Gain actionable insights to how AI is transforming business strategy and operations.  A highly ranked AI learning accelerator experience.


Veteran, Harvard Instructor, Tech Leader

Harvard University

TikTok

Barclays

U.S. Naval Academy

Andy Storey MBA MSc

Navy veteran and current Harvard instructor, big tech leadership experience


March / April  2026

💡 About the Program - What will you learn?Participants will explore how AI technologies can be leveraged to enhance business operations, drive innovation and gain a competitive advantage across various industries. The course combines research-driven theoretical insights with practical applications, case studies and interactive discussions. It is not intended to be a deeply technical learning experience; therefore prior coding expertise or extensive computer science knowledge is not essential. 👨‍🏫 About Your Instructor - Who is Andy Storey?Andy Storey is a Navy veteran and former Senior Director of Labs at Harvard’s Digital Data Design Institute, a global research center focused on leveraging AI and digital technologies to advance business and society.With extensive leadership experience across government, finance and technology sectors, Andy actively teaches at Harvard University. After leaving Meta, he joined ByteDance to build and lead the Global Resilience Operations and Critical Incident Management teams at TikTok.You can find out more at Andy's LinkedIn profile here:🔗 https://www.linkedin.com/in/andy-storey/

Gain actionable insights from the frontiers of academic research and industry


Understanding key AI concepts and enabling technology

Identify different types of AI applications

Evaluate digital and AI readiness in your organization

Introduction to AI Product Management

Creating a strategy aligned to your business objectives

Explore AI applications across different business functions

An understanding of fundamental business, general management and computer science principles is recommended.

⁉️ What do I need to get the most of the program?

Mid-career professionals seeking to build their knowledge of AI applications across industry

Business leaders and entrepreneurs seeking to understand how to evaluate AI opportunities within their organization

Executives wishing to assess technical and organizational requirements for AI initiatives, then create frameworks for responsible deployment

Shift from ad hoc AI efforts to disciplined, structured, workflow-driven collaboration before significant investment.

Workshops at Netflix, Google, LinkedIn

Google

Netflix

Microsoft

LinkedIn

Paul Bryan

I help organizations design and develop AI products that deliver business value.

<blockquote>AI applied to the wrong workflows leads to chaos. This course helps Enterprise teams launch successful AI pilots by aligning on workflows, roles &amp; responsibilities, risks, guardrails, and AI functional requirements before major investments.Industry reports suggest that over half of enterprise AI pilots never scale to production. Many pilots stall because the workflows were not ready for AI.This course addresses the real bottleneck: cross-functional alignment on key details before committing to technical debt.You will leave with:<ul><li>An AI Workflow Canvas: A structured way to identify where AI can move the needle in your organization</li><li>An AI Workflow Scorecard: A shared evaluation framework your cross-functional team can use to assess value, feasibility, data readiness, and risk</li><li>A Thin-Slice Prototype: Storyboards, scene cards, and an action flow diagram that aligns stakeholders across PM, DS, UX, Eng, and Biz on exactly what the AI system will do, feasibility and risk, and where humans are needed in the loop.</li></ul></blockquote>

Identify High-ROI Workflows Ready for AI

Identify high-friction workflows suitable for Enterprise AI

Prioritize AI initiatives using structured evaluation criteria

Clarify roles and decision rights before pilot launch

Surface feasibility and governance risks early

Make AI behavior visible to cross-functional stakeholders

Define readiness criteria before committing to a pilot

AI product team members (PM, UX, DS, ENG) who need a shared framework to align on workflows, feasibility, and responsibility before building

Product and business leaders accountable for Enterprise AI outcomes who must prioritize workflows and reduce risk before committing budget

AI governance, legal, and risk stakeholders who need structured ways to surface constraints, guardrails, &amp; ownership early in AI initiatives

Learn practical ways to lead in responsible AI, with tools you can apply today. 

Responsible AI Advisor & Instructor 

Ahold Delhaize

Johnson & Johnson

ABN AMRO

Hinda Haned

Legatus I

Legatus II

Responsible AI is no longer a niche topic, it’s on the agenda of regulators, boards, and business leaders everywhere. In 2024 alone, governments worldwide issued more than twice as many AI-related regulations as the year before. Add to that more than 80 frameworks, countless checklists, and a steady stream of new tools, and the field quickly feels overwhelming. The real challenge isn’t whether AI should be used responsibly; it’s knowing where to begin. 🎯This course brings you back to the foundations: cutting through the noise, grounding you in what matters, and giving you a clear path forward.Here is detailed breakout of the course:🟩 Week 1: Power Session | Responsible AI PrimerA focused 3-hour session that cuts through the noise and gives you a practical overview of Responsible AI governance.🟩 Week 2: Mentoring &amp; Application | RAI Lab<blockquote>In the second week, you’ll have up to three hours of 1-to-1 mentoring to apply the tools directly to your own context. This may include building a governance checklist, evaluating a vendor, or stress-testing a project plan. The goal is for you to walk away with a concrete, business-ready action plan tailored to your organisation.</blockquote>

Your Responsible AI power session: from principles to practice

Understand core Responsible AI principles in practical business contexts

Recognise common AI risks through real-world system failures

Use a simple Responsible AI risk assessment framework

Define actionable first steps toward Responsible AI adoption

Anyone seeking a clear, practical intro to RAI with real-world examples to apply best practices or guide others effectively.

Leaders seeking to build or improve RAI governance with concrete SOPs and case studies from leading organizations.

Professionals who need to understand and apply RAI to meet regulatory and ethical standards, using field-tested examples.

Build a clear AI strategy, define ROI metrics, and craft a practical roadmap to turn hype into results across product, people, and culture.

AI Executive, Startup Advisor

Sprout Social

Levi's

Nordstrom

Remitly

Rossella Blatt Vital

Executive AI Leader | Startups Advisor (ex Sprout Social, Remitly, Nordstrom)

AI Leader, Director of AI Sprout Social

Deepsha Menghani

AI and Data Science Leader | Director of AI at Sprout Social (ex Microsoft)

🔥 Scholarships available — reach out: aileadershipstudio@courses.maven.com 🔥Every executive today feels the pressure to “win in AI.” Caught between relentless hype and an urgent need to act, leaders are navigating a moment of unprecedented opportunity, and deep uncertainty. There is no universal playbook. AI transformation is messy, full of tradeoffs, and looks different in every organization, reshaping both how the enterprise operates and how products are built.This course offers a structured, practical path forward.At its core is a clear, actionable AI maturity framework that helps you assess where your organization stands across 4 critical dimensions:1) Strategy 🎯2) Ways of Working 🤝3) People &amp; Culture 👥4) Systems of Enablement 🛠️You’ll learn how to translate assessment into action, and acquire the tools to develop a personalized and actionable transformation path grounded in your organization’s context, maturity, and goals.AI isn’t just a technology shift. It’s a leadership and cultural one. This course equips you with the clarity, frameworks, and confidence to lead that transformation, intentionally, credibly, and with lasting impact across product, people, and culture.

Lead AI Transformation Delivering Sustainable Impact in the Agentic Era

📍 AI Maturity Framework

🎯Strategy

🤝 Ways of Working

👫 People & Culture

🛠️ Systems of Enablement

Executive &amp; Sr LeadersLeaders setting AI direction, making investment decisions, and accountable for enterprise-wide outcomes

Transformation &amp; Functional LeadersLeaders driving AI initiatives across product, tech, operations, or strategy

Emerging &amp; Aspiring AI LeadersLeaders and operators building AI fluency to contribute to strategy, decisions, and meaningful change

Apply MIT's RLM paradigm without code. Master Agent Sense to decide what agents should handle and Context Engineering to make it work.

Agent Team Architect

O'Reilly Media

Salesforce

Mike Wheeler

Trained 500K+ students. Teaching Agent Workflow Design & Context Engineering

MIT recently published research on Recursive Language Models (RLMs) that reframes how AI handles massive context. Instead of cramming information into the model where it degrades, RLMs treat context as an external environment accessed on demand. The result: processing 10M+ tokens while outperforming traditional models and eliminating Context Rot.The challenge? Building custom massive-context AI infrastructure typically requires dedicated ML engineering teams and significant investment. MIT's RLM research offers a different path: processing 10M+ tokens at roughly $1 per query, outperforming traditional approaches that cost 2 to 3x more and still fail at scale. MIT documents their approach, but turning research into practice has remained out of reach for non-coders, until Cowork emerged.This course teaches you to build your own RLM using Claude Cowork, Anthropic's no-code autonomous AI tool. Cowork's file-based architecture makes RLM principles accessible to non-programmers, achieving ~95% parity with what MIT proposed.The principles you learn transfer to whatever tools emerge next. Cowork has shown what is now possible. This course teaches you to build it.<a target="_blank" rel="noopener noreferrer nofollow" class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://arxiv.org/html/2512.24601v1">Read the MIT paper</a>

MIT cracked context rot with Recursive Language Models. Build a no-code RLM.

Decide what AI agents should automate, augment, or escalate to humans

Understand the RLM paradigm and why context rot breaks AI workflows

Build a working RLM using Claude Cowork with no code

Design context that persists across sessions and survives handoffs

Create stakeholder-ready documentation for agent workflows

Implement internal agents first, then scale to customers

You should be familiar with how work is done today and have visibility into the decisions, handoffs, and outcomes involved.

Experience owning or influencing reaI workflows

This course assumes you are used to making or advising on decisions that affect outcomes, risk, or other people’s work.

Comfort making decisions with accountability

You do not need prior AI or agent experience, but you should want to thoughtfully adapt existing workflows for agent support.

Interest in thoughtfully adapting work for AI agents

Operations and transformation leaders who need to introduce AI agents with accountability but lack technical staff to build from scratch.

Senior ICs and team leads who see AI potential in their workflows but need a framework to decide what to automate versus keep human.

Consultants and advisors guiding AI adoption who need tool-agnostic frameworks and documentation they can defend to skeptical clients.

AI is shaking things up! Our existing approach to leadership, strategy, and innovation might not cut it anymore.

Future of Work Researcher | TEDx Speaker

Dr Mansoor Soomro

Future of Work- Researcher | Thought Leader | Speaker | Writer | Futurist

I must admit that AI-powered tools have fundamentally transformed the way we work- and should Lead, Strategize and Innovate (LSI).Traditional frameworks and approaches to leadership, strategy, and innovation are no longer sufficient. The rise of AI demands a rethink, a redefinition of how we lead teams, craft strategies, and drive innovation in a rapidly evolving business landscape.This power-packed course is designed to guide busy executives through this transformational shift. You’ll explore how AI reshapes leaders' decision-making, strategy design, and innovation processes while learning how to align these changes with your organization’s goals.This course is thoughtfully designed into 4 modules, delivered through 2 days of live sessions.The course ends with a hands-on implementation project (AI-driven Leadership, Strategy and Innovation Plan) giving you a chance to apply your learnings immediately.

Our Leadership, Strategy, and Innovation approaches are no longer working!

Module 1: AI and its Business Implications

Module 2: Redefining Leadership in the Age of AI

Module 3: Strategic Thinking and Decision-Making in the AI Era

Module 4: Driving Innovation with AI

C-suite Executives and Senior Leaders looking to navigate the opportunities and challenges AI brings to their organizations.

Mid-Level Managers aiming to future-proof their leadership skills and drive impactful strategies in an AI-driven world.

Business Innovators and Strategists eager to leverage AI for breakthrough innovation and competitive advantage.

AI Fundamentals

Apply AI in your role

Career Development

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Craft

AI Fundamentals

Leadership fundamentals

AI Fundamentals

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