Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

LLM Ops

Context Eng

Security

System Design

Design

Figma

Design Systems

Visual Design

Design Strategy

Marketing

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Founders

Fundraising

More

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

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

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.

Every session is intensely hands-on and practical

Arize AI, Spotify, Cruise, and Apple

Apple

Spotify

Cruise

UC Berkeley

Arize AI

Aman Khan

AI Product leader at Arize AI, Spotify, Cruise, Zipline, and Apple

Riverside, Patreon, Wix, and Appsflyer

Patreon

AppsFlyer

DuckDuckGo

Tal Raviv

Early PM @ Patreon, Riverside, Wix, AppsFlyer

Cohort 2

Cohort 3

You're using ChatGPT daily, but still feel like an outsider when engineers discuss context management, RAG pipelines, and agent memory. The gap is widening daily, and then Meta announces a new PM interview: "Product Sense with AI."Half of product sense is knowing your users. The other half? Deep intuition for the enabling technologies: what's easy, what's hard, and why.Most courses teach AI through slides and flowcharts. We take the opposite approach: you'll build your personal OS using Cursor and Claude Code, the same "exposed wires" tools engineers use.Why? Because using AI coding agents daily is like iterating on a suite of AI products with a user of one. The bottlenecks become visceral, the solutions intuitive.In this radically hands-on workshop, you'll move from chat UIs to engineering tools, build a Personal OS for daily work, and realize you've built a portfolio using every AI engineering primitive.Result: X-ray vision for any AI product. When others see magic, you see architecture. You're known for saying "let me show you" and demoing live.When Anthropic or OpenAI announce something new, you already intuited it was coming because you faced that exact problem last week.

Build your personal OS in Cursor & Claude Code—to learn AI technical foundations

Move from ChatGPT to Cursor/Claude Code for all tasks

Build a portfolio of Al products you use daily

Build confidence and gain a competitive edge amongst your peers

Develop X-ray vision for AI products

Prototype AI solutions during meetings

Lead AI transformation

C-suite executives and venture investors who need practitioner intuition to evaluate business models confidently.

Product builders who want to improve their technical intuition by building their personal AI systems.

Big Tech candidates preparing for AI product sense interviews, by building a portfolio of working AI systems they use daily.

Talk to customers. Test assumptions. Build with conviction.

Fractional CPO | x-Oracle, Autodesk

Oracle

Autodesk

Stanford University

National Peace Corps Association

Arup

Moiz Kapadia

Fractional Head of Product | ex-Oracle, Autodesk, Stanford alum

Cohort 4

Cohort 5

Most PMs are stuck shipping a roadmap they don't own. Engineering builds what they want. Sales promises features for deals. You can't build the product that defines your career if you don't own it.So you build in a vacuum &gt; Launch &gt; nothing moves &gt; and the career cost stacks up quietly.The PMs who shipped great products didn't do it by magic.They ran customer discovery sprints to build their case, de-risked the product and launched with conviction.The truth is that nobody is going to tell you to run a customer discovery sprint.You have to bring it yourself.But reading about it isn't enough — you need a repeatable process and a guide who's done it over and over again.This course teaches you a structured, AI-Powered Discovery process using Claude — applied to whatever you're building right now.Over 3 weeks of live lessons + ongoing office hours:First, learn discovery fundamentals and set up your AI Powered Discovery Agent.Then, you'll run customer convos and use AI to analyze.Finally, we'll make sense of your interviews together. By the end you'll know what to build.The PMs who do this get promoted, poached, and opportunities they didn't go looking for.

A great career in product is defined by one thing: what you ship.

Master Fundamental Discovery Skills

Build Claude Skills to run discovery end to end

Present your roadmap to your leadership with conviction

You will be interviewing Customers in the course. This is a critical skill in Discovery, not to be outsourced to AI.

Must be able to schedule at least 1 Customer Conversation

Product Managers at a company without a structured discovery practice

Founders who need validation before investing time and money in product development.

UX Researchers who are overloaded with discovery work and are looking for a system to speed up their workflows

Lead the AI Transformation. Don't just witness it.

VP of Product, Uber

Amit Fulay

Vice President of Product, Uber

Fmr SVP Lattice & Sr. Dir Google

Jennifer Liu

Product Executive and Coach (SVP, CPO, Sr. Director Google)

Director of Product, Google AI

Satyajeet Salgar

AI is a market-decimating force. The old playbook of "shipping features" is dead. Leaders must now build "Contextual Moats" and defensible strategies.This course bridges Executive Leadership and AI Strategy, infusing our #1 Ranked curriculum with frameworks to win in the AI age.What You'll Get:1. Define Strategic Leverage: Master the 4 Sources of AI Leverage (Data, Distribution, Trust, Learning Loops). Build moats that endure even when models become commodities.2. Shift to "Planning in Motion": Traditional planning fails when the landscape shifts weekly. Build a "Sensing Function" to create roadmaps that adapt to new models and competitor moves without descending into chaos.3. Architect the Human + Agent Workforce: Scale output, not headcount. Learn to design the "Baton Pass"—assigning repeatable tasks to Agents and judgment tasks to Humans to maximize leverage.4. Master AI Economics: Powerful models cannot fix weak unit economics. Master the new P&amp;L: forecast scaling inference costs, manage the "Cost vs. Quality" trade-off, and operationalize Trust.

Lead the AI Transformation. Don't just witness it

Build Defensible "Contextual Moats"

Master AI Economics & Unit P&L

Lead AI Transformation & Escape "Pilot Purgatory"

Ambitious Senior PMs, GPMs, &amp; VP Level Leaders: Leaders who are responsible for product success and need to crystallize their skills to lead

Founders &amp; Executives: Those who realize that "be first to market" is no longer enough and need a strategy that provides a durable advantage

Note: This course is not for early-career PMs or those looking for a basic introduction to prompt engineering. This is a strategy and leader

Evals aren't your product moat. A continuous improvement flywheel is.

AI Founder & Advisor to F500s | Ex-AWS

Amazon Web Services

Microsoft

University of Oxford

Aishwarya Naresh Reganti

June Cohort

Check out our free AI Evals Certification <a target="_blank" rel="noopener noreferrer nofollow" href="https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/free_courses/ai_evals_for_everyone/README.md">here</a> (5000+) Learners!Most teams building AI products today know about evals and LLM judges, but they’re deeply confused about how to actually turn them into actionable improvement signals post production. Just throwing in LLM judges won’t magically fix your product. It won’t.<ul><li>This course shows how to use offline evals, online evals, and production monitoring to drive continuous improvement, based on real production experience.</li><li>We believe that going forward, a thoughtfully designed data flywheel will be the moat for AI applications. This course shows you how to build it.</li><li>This course is for people who’ve already built AI systems and are stuck with evals that are noisy, expensive, or uselessIf you need something more foundational, check out our top-rated flagship<a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/aishwarya-kiriti/genai-system-design"> enterprise AI course</a> taken by over 1500+ builders and leaders.</li><li>For questions or bulk enrollments please email problemfirst.ai@gmail.com</li><li>We follow a flipped-classroom format with async lecture content and meet twice a week for office hour style sessions to optimize two-way/interactive live time.</li></ul>

Move beyond one-time evals to continuous improvement flywheels for AI products

Understand what evals actually mean and why it’s misunderstood

Build a pre-deployment evaluation foundation from scratch

Choose the right types of metrics for the system you’re building

Monitor in production and close the improvement loop

You should have built small AI applications before and be familiar with concepts like RAG, MCP, and tool use.

A good understanding of AI system design

The course includes optional Python assignments, you're free to use coding agents, but basic coding skills are recommended

Working knowledge of Python/Coding (Optional)

Software/AI Engineers, Strategists, Data Professionals, Solution Architects and Consultants looking for systematic evaluation practices

Business Leaders and Product Managers seeking to gain the technical understanding of AI Product Lifecycle and intentional iteration

Founders &amp; teams stuck at systematic evaluations and monitoring, unsure how to turn signals into real product improvements.

Decide what's worth building, before you build it

CPO | Ex Amazon, Intuit, PayPal

Amazon

PayPal

Intuit

PropertyGuru

Viveck P Kumar

20 years in product. Ex-Amazon, PayPal, Intuit, PropertyGuru.

Cohort 1

Most product teams don't fail because they can't execute. They fail because they diagnosed the problem wrong before they started.They picked a behaviour that looked like a problem. They built for acquisition and ignored retention. They launched with a value proposition that made sense to them but meant nothing to the customer on day one.The cost is not abstract. It is wasted quarters on features nobody adopts. It is a retention curve that will not move no matter what you ship. It is walking into a leadership review without a clear answer to why growth has stalled. The execution was not the problem. The value selection was.This workshop teaches the BELT+POLE framework — a diagnostic and design system for product managers who need to stress-test their bets before committing to them.Before this workshop, you evaluate product bets with experience and instinct. After it, you run a diagnostic. You know what kind of problem you are solving and exactly where the architecture is failing. That shift does not wear off.

Know whether a product bet will drive adoption before you commit roadmap, budget, or team to building it.

Leave with a diagnostic you can run on any product decision by next Monday.

This is advanced material for working practitioners. If you've just entered the industry, build foundational skills first, then return.

3+ years actively practising product

Product Strategy

Product Strategy

Cohort-based courses

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