AI Product Management & Probabilistic Roadmap

About the Course:

In 2026, a Product Manager’s job isn't just to write requirements; it’s to manage uncertainty. This workshop explores the "AI PM" toolkit: moving beyond RAG hype to build production-grade AI features. We cover how to design Synthetic Evals to catch model hallucinations, how to manage

Token Economics for profitability, and how to transition from fixed roadmaps to outcome-based Agentic Workflows. If you are a PM or Lead Developer, this session provides the blueprint for building AI products that are reliable, ethical, and profitable.

Course Objectives:

By the end of this workshop, participants will be able to:

• Define the difference between "Traditional" and "Probabilistic" product management.
• Build a basic AI Evaluation Pipeline (Evals) to measure model reliability.
• Calculate the ROI of AI by balancing GPU/Token costs against user value.

Who is the Target Audience?

• Product Managers, Senior Developers, Technical Founders, and Business Analysts.

Basic Knowledge:

• Basic familiarity with business metrics and user-centered design
• No prior machine learning experience required