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AI for Product Owners

Taught by: Venkatesh Rajamani
tryScrum
From strategic planning to backlog management, AI has the power to transform your product management responsibilities. Find out how to leverage AI to streamline everything you do and earn a microcredential to showcase your skills.
Credential type: Microcredential
[email protected]
+91 9789490848
Venkatesh Rajamani Trainer Photo
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 4 hours |
 Start May 16, 2026 CUT
₹10,500
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Course details

Location

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Online

Schedule Details

Saturday, May 16 | 4:30 AM - 8:30 AM CUT
Max number of students: 20

Lesson 1: The Human and the Machine – Understanding Where AI Belongs

Overview

Explore Product Owner responsibilities through the lens of augmentation—not replacement. This session sets the foundation for the course by positioning AI as a support system for human-centered work.

Learning Objective

LO1: List Product Owner responsibilities suitable for AI augmentation and those requiring irreplaceable human skills.

Purpose

To establish clarity on where AI adds value and where human judgment is essential.

Lesson 2: Exploring & Discussing the Risks of AI

Overview

Work through realistic scenarios to identify ethical risks and develop mitigation strategies through hands-on collaboration.

Learning Objective

LO2: Review key risks including ethics, data privacy, and algorithmic bias when using AI with team and product information.

Purpose

To help learners recognize risks and apply ethical thinking when using AI in product environments, while understanding its impact on empiricism.

Lesson 3: The Prompting Playbook: Your Framework for Success

Overview

Apply prompt engineering techniques in a hands-on lab focused on real Scrum scenarios—moving from basic prompts to refined, effective ones.

Learning Objective

LO3: Apply prompt engineering principles to generate outputs that support Scrum events, artifacts, and commitments.

Purpose

To build the core skill required to use AI effectively in day-to-day Product Ownership work.

Lesson 4: The AI Backlog Refinement Studio

Overview

Practice a structured approach to converting raw, unstructured inputs into high-quality backlog items using AI as a co-pilot.

Learning Objective

LO4: Identify how AI can assist in generating and refining Product Backlog items to ensure clarity, conciseness, and alignment with business value.

Purpose

To enable repeatable, high-quality backlog refinement using AI.

Lesson 5: The AI Ordering Engine

Overview

Move from refinement to strategic ordering. Define product goals and use AI to support prioritization based on value, risk, and customer needs.

Learning Objective

LO5: Utilize AI tools to order a Product Backlog based on customer needs, strategic goals, and other parameters.

Purpose

To strengthen the Product Owner’s ability to make informed, value-driven ordering decisions using AI.

Product Owners

Product Managers

Business Analysts

Scrum Masters

Agile Coaches

Anyone involved in product decisions

If your role involves deciding what to build, why it matters, and how to prioritize it—this course is relevant

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Where & when
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    Sat Jun 13, 2026
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    4:00 AM CUT
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    Live Online
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