

π AI Product Management: From 0β1 to GTM
βπ AI Product Leader: The 0β1 Accelerator
β6-Week Live Product Management Cohort
βAI is changing what it means to be a great Product Manager.
βKnowing frameworks isn't enough. Today's PMs need to understand markets, customers, AI capabilities, product strategy, experimentation, and GTMβand connect all of them into products customers actually want.
βThis intensive 6-week live cohort teaches you how to think and operate like an AI Product Manager through practical frameworks, case studies, exercises, and a hands-on product project.
βWhat You'll Learn
βWeek 1 β Product Sense & Customer Discovery
Identify meaningful problems, understand users, separate signals from noise, and develop strong product intuition.
βWeek 2 β Market Analysis & Opportunity Discovery
Market sizing, competitive landscapes, emerging AI categories, customer segmentation, and finding whitespace.
βWeek 3 β AI Product Strategy
Define product vision, differentiation, positioning, moats, metrics, and an AI-native product strategy.
βWeek 4 β Building 0β1
Move from idea β hypothesis β MVP. Prioritize ruthlessly, design experiments, work with engineering, and validate before overbuilding.
βWeek 5 β Go-To-Market
ICP, positioning, pricing, design partners, launch strategy, sales enablement, and creating the initial customer acquisition motion.
βWeek 6 β Launch, Measure & Iterate
Define success metrics, analyze customer behavior, run experiments, incorporate feedback, and build the next iteration.
βYou'll Build
βThroughout the cohort, participants will take one AI product from idea to launch strategy, creating a portfolio-ready package including a market analysis, product strategy, MVP, PRD, GTM plan, metrics, and executive pitch.
βFormat: 6 weeks Β· Live online cohort Β· 2 hours/week
Ideal for: Aspiring PMs, current PMs moving into AI, engineers transitioning to product, founders, and early-career technology professionals.
βInstructor β Rajni Sharma
βFounder & CEO, DotIQ | Former Product Leader β Walmart, AWS, Apple & Microsoft
βRajni Sharma brings nearly two decades of experience building and scaling technology products across Microsoft, Apple, AWS, Walmart, eBay, Rubrik, and Paylocity. She has led products spanning cloud, AI, identity, marketplaces, and enterprise platforms, from early product discovery through large-scale commercialization.
βHer teaching focuses on the part of product management that frameworks alone can't teach: how to make good product decisions when the answer isn't obvious.