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Programs / AI Product ManagerIntermediate PATHWAY

Lead the Next Generation of AI Products

Professionals seeking deep AI fluency without full-time engineering. Learn to build systems with hands-on projects and applied engineering.

PROGRAM OVERVIEW

AI Product Manager

Lead the Next Generation of AI Products. Develop practical competencies through focused labs, project work and a final capstone.

Who this program is for

Professionals seeking deep AI fluency without full-time engineering.

Career alignment

AI Product Manager, AI Product Strategist. Role alignment describes relevant skills and does not guarantee employment.

YOUR LEARNING BLUEPRINT

From understanding
to implementation.

01Product Discovery+

Skills and technologies you’ll develop:

AI Product StrategyUse-Case DiscoveryWorkflow Analysis

Hands-on lab: apply these concepts, test the results and document engineering decisions.

02Product Definition+

Skills and technologies you’ll develop:

Product RequirementsModel SelectionPrototype Design

Hands-on lab: apply these concepts, test the results and document engineering decisions.

03AI Value & Quality+

Skills and technologies you’ll develop:

AI EconomicsEvaluation MetricsAI UX

Hands-on lab: apply these concepts, test the results and document engineering decisions.

04Responsible Delivery+

Skills and technologies you’ll develop:

SecurityPrivacyDeployment Strategy

Hands-on lab: apply these concepts, test the results and document engineering decisions.

05Adoption+

Skills and technologies you’ll develop:

ROI MeasurementAdoptionChange Management

Hands-on lab: apply these concepts, test the results and document engineering decisions.

Show what you can build.

PROJECT 1

AI product brief

Build a working system with defined requirements, evaluation and documented limitations.

PROJECT 2

Evaluation scorecard

Build a working system with defined requirements, evaluation and documented limitations.

PROJECT 3

Launch and adoption plan

Build a working system with defined requirements, evaluation and documented limitations.

FINAL CAPSTONE

Demonstrate practical competency.

Develop an evidence-based AI product plan with a prototype, success metrics and deployment strategy.

Before you begin.

Prerequisites

Professional experience; coding is optional.

Professional credential

AI Product Manager Professional Certificate. Completion requires published coursework, assessments, projects and capstone requirements. Final passing scores, exam attempts and grading policies will be confirmed for your cohort before enrollment. This is an Epic IT certificate, not a university degree or third-party accredited qualification.

Career pathway

Build on this program with a related engineering pathway or industry specialization.

Questions, answered.

How long is this program?

Schedule and duration to be confirmed.

What is the delivery format?

Online, live and in-person options subject to cohort availability.

What is tuition?

Tuition information coming soon. Pricing, payment plans, start dates and enrollment deadlines will be confirmed before purchase.

What technology do I need?

A reliable computer, internet access and the ability to run development tools. Cloud/API requirements and additional costs will be disclosed in the cohort syllabus.

Is employment guaranteed?

No. Programs develop competencies and portfolio evidence; employment depends on individual preparation and market conditions.

Keep building.

Apply Now