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

You'll learn skills that have helped >1000 of Shreyas' students build successful products, craft compelling strategies, get hired/promoted.

Cohort 22

Advisor to founders. Product builder.

Stripe

Google

Anthropic

Riverside.FM

Shreyas Doshi

Built successful products at Stripe, Twitter, Google. Advisor to founders & CEOs

March 2026

May 2026

Product Sense is the ability to usually make correct product decisions, both macro &amp; micro, even in the face of major ambiguity.A common misconception regarding Product Sense is that it is something you either have or you don't.In reality, you can significantly improve your Product Sense by understanding and practicing a number of principles of human motivation, behavior, and creativity.People who level up on their Product Sense tend to build more successful products, features, and teams. This in turn helps them substantially grow their impact, scope, and lifetime income.<a target="_blank" rel="noopener noreferrer nofollow" href="https://testimonial.to/shreyas-improving-your-product-sense-course/all">Product Sense is a skill and thousands of highly talented &amp; accomplished product people have leveled up greatly on this skill by taking this course</a><ul><li>70% of students, after they see the magic of this course, wish they had enrolled for the course much earlier than they did</li><li>Hundreds of product-focused founders and CEOs have taken this course. Many CEOs have sent their entire company to this course after taking it themselves</li><li>40% of students who take the course first heard about it from a friend or colleague who took it</li></ul>In the AI age, nothing matters more than Product Sense. Learn it. Sharpen it. Master it. Apply it &amp; win.

Product Sense is the main skill that matters in the AI age for product builders.

What makes users choose your product, what gets in the way, what nudges work

How to conceive correct & compelling ideas for your product strategy and plans

How to do correct Positioning & Segmentation for your product and communicate it

Build better Taste & convey your Taste in ways that is actionable for your team

20 specific Product Creativity Techniques to build better products & experiences

You will develop skills for everything above in ways you can immediately apply

Folks who are are involved in content creation, coaching, teaching, or other such side hustles should not enroll. We seek 110% product focus

This course is NOT FOR everyone

It is almost certainly the most advanced product course out there, suited for founders & advanced career folks in PM, Design, Eng, Data, etc

This IS NOT a beginner or intermediate level course

If yes, it will likely be transformative. But it IS NOT for folks who like to outsource their thinking to others and just follow directions

It is FOR YOU if you like to think for yourself and truly want to win

Product-focused startup founders &amp; CEOs who want to improve their ability to make more correct product decisions. Pre-PMF &amp; just post-PMF.

Talented Product Managers, Designers, Engineers, Data Scientists, Ops/Mktg folks who want to take their Product Sense to the next level.

Senior product leaders across PM, Design, Analytics, Eng, Ops, Mktg, etc. Many product team leaders (P-D-E) also take this course together.

Ready to break out, navigating new terrain, or finding your footing? Learn the Leadership OS to become the one they can't afford to lose.

18+ yrs leading teams at P&G & LinkedIn

LinkedIn

Procter & Gamble

Co-Active Training Institute

Sudha Ranganathan

18+ yrs leading teams at P&G & LinkedIn | Trained Coach and Workshop facilitator

Cohort 1

Something has shifted - and most leaders are wondering what it means for them: Management layers are shrinking. The bar for team leaders is rising. And this is especially acute for leaders who have been in their role for a while without standing out OR for leaders navigating new contexts (new role, org, or leader).What does it take to be indispensable? After 18+ years in calibration rooms, I've codified the skills that separate leaders whom organizations fight to keep from everyone else.I call this the Leadership Operating system and it includes three critical types of acumen:<ul><li>Business acumen to understand what matters and adapt as priorities shift</li><li>Organizational acumen to build influence and reputation with stakeholders that matter (including the most critical one — your manager)</li><li>Leadership acumen to deploy your energy smartly and bring out the best in your team</li></ul>Across 4 sessions, you will walk away with frameworks and exercises to build these muscles WHILE applying them immediately to your own work context.You'll leave with clarity on what matters, who matters, and how to become the leader your company can't afford to lose.Live sessions: 9-12 PT on Apr 18, May 9, May 23 and Jun 6

What Actually Separates Indispensable Team Leaders from Everyone Else

Build business acumen AND stay adaptive as context shifts around you

Prioritize: Reset or sharpen your team's priorities to maximize business impact

Optimize stakeholder partnerships: Drive alignment, influence, and reputation

Manage your manager: Maximize value to and from your most critical stakeholder

Activate impact: Deploy yourself strategically to elevate outcomes that matter

Become a talent magnet: Build a reputation that attracts and retains top talent

This course is designed for people managers leading teams, not individual contributors without direct reports.

You manage a team with direct reports

Expect real work: Conversations with stakeholders and synthesizing insights into templates to apply concepts to your actual context

You're willing to do the work between sessions

This isn't for leaders already thriving at the top. It's for those who see room to level up—and are ready to do the work.

You believe you have room to grow, and WANT to

Ready to Break Out: Team leaders doing the work, getting decent feedback, still getting passed over. Become the one they'd fight to keep.

Experienced Leader, New Context: New team, manager or org structures around you? Reset and prove impact in unfamiliar territory.

Finding Your Footing: Newer team leader? The window to prove yourself is shorter than you think. Build credibility and win fast.

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

Harvard University

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.

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

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.

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

Workshops at Netflix, Google, LinkedIn

Netflix

Microsoft

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

Product Strategy

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