Agentic AI

Coding with AI

AI Evals

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

User Research

Prototyping

Growth

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

Security

System Design

Design

Figma

Design Systems

Design Strategy

Marketing

Content Marketing

Go-to-Market

Product Marketing

B2B Marketing

AI for Leaders

Communication

Management

Storytelling

Founders

More

Everyone

Operators

Data Scientists

User Researchers

Project Managers

Sales People

Lawyers

Finance

Investors

Real Estate

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

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


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

Walk away with the core skills, tools, and support you need to operate like a modern PM

Cohort 23rd March 2026

20+ YoE | 8+ Yrs Teaching | 5K Students 

Linktree

Kajabi

Expedia Group

Melbourne Business School

David Wang (Product Dave)

Global Product Leader with 20+ Years of Experience from Hyper-Growth Companies

This cohort is designed for students who are based in Australia and the US West Coast timezones

Cohort 12PM AEST / 7PM PST 

Cohort 3 May 2026

Who’s this for?This course is for people trying to break into product management, unofficial PMs already doing the work without the title, and new PMs who want stronger foundations.Each cohort is capped at 12 motivated learners. Not a 500-person course where you're lost in the noise. Weekly live workshops and direct feedback. That's how you learn.- Why this course?AI has made building and execution easier. But speed is not judgement. Most courses teach prompts without teaching the PM foundations that matter in interviews and on the job. This course gives you both.You’ll learn how to think like a PM, break down customer and business problems, define personas and JTBD, connect ideas to metrics, structure AI-assisted PRDs, prioritise work, and influence without authority.-What you'll get:<ul><li>Certification from Product Academy</li><li>Weekly live workshops so you build real skills fast</li><li>1:1 coaching on insider knowledge on hiring PMs</li><li>A complete Miro board of PM tools — market dynamics, customer segmentation, feature maps, prioritisation, roadmapping, etc</li><li>AI prompt library to speed up every step of product work</li><li>Career Happiness Refund: If you're not happy, you'll get 100% refund anytime in your career.</li></ul>

Decide What To Build, Get Customers, and Drive Outcomes with AI PM Skills

Master the foundations of Product Thinking in the age of AI

Ground Product Decisions in Business and Customer Needs with AI Tools

Influence Executives with Data-Driven Prioritization and Planning

Build Working AI Product with Clear Product Requirements

Measure the Success of Your Product using Clear Metrics

Product thinking needs real workplace judgement. This course promotes learning from each other's real-life experiences. 

Must be a Mid-Career Professional | 4+ Years of WORKING experience

We use real examples from tech companies and tech products; otherwise, you'll get lost in the concepts.

Must work in tech or tech-related products

Unofficial PMs - Engineers, Designers, Program Managers, BAs, and SalesFolks who touches product work and wants to define WHAT to build

New or Aspiring PMsPeople moving into PM who want practical product thinking, AI workflows, and a real project to show their ability.

PMs who needs to stay relevant in the AI eraCurrent PMs who want to remove low-level work and use AI to operate with more impact.

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 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.

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

LinkedIn

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

Cohort 3

Cohort 4

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.

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

Strategy

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