Make Plans Resilient Than Ever Before

AI for Product Planning

Effective product planning requires foresight. Focus on leveraging AI tools for backlog prioritization, resource allocation, and delivery forecasting.

AI for Product Planning Logo
75,000+
Students Upskilled
Global
Capability Standard
Trusted By
Banks, GCC's, Governments, IT

Corporate Academy

Request a corporate quote for your workforce.

Executive Overview

3 hours of guided, instructor-led learning. Gain practical skills to align product planning with customer expectations and optimize release cycles using AI.

Curriculum Architecture

  • Generate Smarter Roadmaps
  • Prioritize with Confidence (RICE/MoSCoW)
  • Integrate human judgment with AI
  • Design Outcome-Oriented Releases
  • Trusting AI in the planning process

Value Proposition

Leverage AI tools for backlog prioritization and resource allocation
Optimize release cycles and reduce planning risks

Certification Criteria

Accredited by ICAgile. Includes ongoing assessment throughout the class and a final practical assessment.

Prerequisites

Basic knowledge of what AI is, agile principles, values, and mindset.

Frequently Asked Questions

What is the ICAgile AI for Product Planning certification? +

This micro-credential teaches product leaders how to leverage AI to optimize release cycles, intelligently prioritize backlogs, forecast delivery risks, and create more resilient, data-driven product roadmaps.

How can AI optimize backlog prioritization? +

AI can process complex variables—such as estimated effort, customer value, and technical dependencies—and suggest objective prioritization rankings using frameworks like WSJF, RICE, or MoSCoW.

Will I learn how to use AI for capacity planning and forecasting? +

Yes. You will learn how to prompt AI to analyze historical team velocity and capacity data to generate more accurate, reliable forecasts for upcoming sprints and Program Increments.

Who should take the AI for Product Planning micro-credential? +

This course is critical for Product Owners, Release Train Engineers (RTEs), Scrum Masters, and Delivery Managers who are responsible for planning agile iterations and managing complex delivery schedules.

Does this course cover frameworks like RICE or MoSCoW? +

Absolutely. We teach you how to train your AI models to automatically apply these standard prioritization frameworks to your unrefined backlog, saving you hours of manual sorting.

Are there any prerequisites to join this course? +

A basic understanding of agile planning ceremonies (like Sprint Planning or PI Planning) is recommended, but there are no strict technical or coding prerequisites required to attend.

Is there an exam required to pass the ICP-AI-PLANNING? +

No. Certification is awarded based on your active participation in the live 3-hour session and your successful completion of the hands-on AI planning exercises.

How does AI reduce risk in agile release planning? +

By analyzing past project data and identifying hidden dependencies across multiple teams, AI can flag potential bottlenecks and delivery risks long before they impact the release schedule.

Does the ICAgile AI for Product Planning certificate expire? +

No. This credential is valid for life and does not require annual renewal fees.

Can AI write my acceptance criteria? +

Yes. A key skill taught in this course is using AI to take a high-level user story and instantly generate robust, edge-case-tested acceptance criteria in standard BDD (Given/When/Then) format.

Upcoming Cohorts

🔄 Synchronizing live schedules and local pricing...

Capability Alignment in United States

Targeting Fortune 500 & Tech Hubs

In United States, the demand for Make Plans Resilient Than Ever Before is accelerating as local Fortune 500 & Tech Hubs shift toward product-centric operating models. Agile Visa's curriculum is specifically tuned for professionals in this region looking to master high-growth enterprise scalability.

Local Market Value

Earning your AI for Product Planning provides a distinct advantage in the United States talent market. As organizations here prioritize digital transformation, the ability to drive high-impact outcomes through advanced frameworks is a mandatory requirement for senior leadership roles.