AI for Product Owners

The AI for Product Owners Training is a practical, industry-focused program designed to help Product Owners, Product Managers, Business Analysts, and Product Leaders integrate AI into every stage of the product lifecycle. This live virtual training provides a hands-on understanding of how AI can support product discovery, requirements gathering, backlog refinement, prioritization, roadmap planning, stakeholder communication, and decision support.

The course focuses on using AI as a productivity and decision-support assistant while reinforcing the importance of human judgment in product management. Through real-world exercises, prompt engineering techniques, and collaborative workshops, participants learn how to use AI effectively, responsibly, and consistently in their day-to-day product roles.

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Course Includes

8 Hrs of Sessions
24/7 Lifetime Support
One-on-one doubt clearing
Hands-On Driven
Certification Based Curriculum
Career path guidance
Real Time Users
Flexible Schedules

Why Choose TM SQUARE?

Unlike generic training providers that focus on basic, superficial prompts, TM SQUARE brings deep enterprise software delivery expertise directly into the classroom. Delivered by seasoned practitioners through intensive, breakout-based workshops, our course focuses on solving real-world product bottlenecks equipping your team with production-grade prompt libraries, battle-tested workflows, and enterprise-grade governance to adopt AI safely, responsibly, and with measurable impact from day one.

Course Overview

Transform how you discover, define, and deliver products with TM SQUARE’s AI for Product Owners hands-on training. Designed specifically for Product Owners, Product Managers, and Business Analysts, this intensive 8-hour live virtual masterclass bridges generative AI tools with core product practices. Learn how to move from occasional prompt experimentation to systematically embedding AI into your daily product workflows—enhancing backlog refinement, acceptance criteria generation, customer feedback analysis, and roadmap strategy while preserving critical human decision-making.

Course Outline

What is your return policy?

We offer a 30-day return policy from the date of purchase.

Do I need a receipt to return an item?

Yes, a valid receipt or proof of purchase is required.

Can I return online purchases in store?

Yes, online purchases can be returned in any of our physical stores.

How long does shipping take?

Standard shipping typically takes 3–5 business days.

Do you ship internationally?

Yes, we ship to most countries worldwide. Additional charges may apply.

Which countries are excluded?

We currently do not ship to embargoed countries or regions with postal restrictions.

Module 1: Why AI, Why Now for Product Owners

Icebreaker: “How are you already using AI in your product role?”

Understanding AI as a product-thinking assistant, not a replacement for PO judgment

Where AI fits across the Product Owner's responsibilities: product discovery, backlog management,

Prioritization, stakeholder communication, and product strategy

What AI cannot do: understand customers deeply, own product decisions, or replace human judgment

Module 2: AI Foundations for Product Professionals

LLMs explained in simple, practical terms

Understanding hallucinations and AI limitations

Prompting fundamentals: context, role, format, and constraints

Writing effective prompts for product-related tasks

Live demonstration: Weak Prompt vs. Strong Prompt

Hands-on activity: Create and test an AI prompt for a real product task

Module 3: AI for Product Discovery & Requirements

Turning customer feedback into actionable insights

Identifying customer pain points and needs

Using AI to generate and refine user personas

Converting product requirements into user stories

Generating acceptance criteria and edge cases

Using AI to identify gaps, assumptions, and ambiguities in requirements

Workshop: Transform raw customer feedback into structured product requirements

Module 4: AI for Backlog Management & Prioritization

Using AI to refine and structure product backlogs

Identifying duplicate, outdated, or unclear backlog items

AI-assisted prioritization using MoSCoW, RICE, and Value vs. Effort

Generating prioritization criteria and trade-off scenarios

AI-assisted backlog refinement

Workshop: Prioritize a sample product backlog using AI

Module 5: AI for Product Strategy & Decision Support

Using AI for product brainstorming and idea generation

Market and competitor research support

Identifying product opportunities and risks

Creating product hypotheses

AI-assisted roadmap planning

Exploring “What-if?” scenarios for product decisions

Preparing product decision briefs and recommendations

Activity: Use AI to evaluate a product idea from multiple perspectives

Module 6: AI for Stakeholder Communication & Collaboration

Creating stakeholder-ready product updates

Converting complex product information into executive summaries

Preparing presentations, product briefs, and release communications

Using AI to prepare for difficult stakeholder conversations

Generating questions and counterarguments before product discussions

Adapting communication for different audiences

Activity: Turn raw product information into a stakeholder-ready communication

Module 7: AI Risks, Ethics & Governance for Product Owners

Data privacy: what not to enter into public AI tools

Protecting customer data, PII, confidential business information, and proprietary product information

Understanding AI bias and over-reliance

Validating AI-generated insights before making product decisions

Transparency when AI is used in product development

Human judgment as the final decision-making layer

Discussion: “Where should we draw the line when using AI in product decisions?”

Module 8: Building Your AI-Enabled Product Owner Toolkit

Creating a personal library of reusable product prompts

Understanding Claude skills to increase productivity and consistency in repeated task

AI tools for product discovery, analysis, documentation, and collaboration

Introduction to relevant AI-enabled product/work management tools

Building an AI adoption roadmap for product teams

Curated resources, prompt templates, and tool recommendations

Deliverable: Each participant leaves with a set of practical, reusable AI prompts for their product role

Q&A, feedback, and close

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