---
url: "https://xcademia.com/courses/ai-product-management"
title: AI Product Management
description: "Learn AI product management with model selection, data strategy, LLM design, and responsible AI in a mentor-led practical course."
publishedAt: "2026-03-20T11:43:09.525323+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "BLM-0070"
level: Professional
duration_days: "3"
track: "Agile & Product Delivery"
category: "Business, Leadership & Project Management"
credential_tier: tier1
price_gbp: "1999"
---

# AI Product Management

> Learn to design and manage AI-powered products with strong product thinking and data strategy. Apply responsible AI, model selection, and LLM product design in practical scenarios.

## Overview

AI Product Management is a mentor-led programme designed to help product professionals build, manage, and scale AI-powered products effectively. It focuses on combining product thinking with AI capabilities, ensuring solutions deliver measurable value while remaining practical and responsible.

Through practical scenarios, learners explore how to approach model selection, define data strategies, and integrate AI into product workflows. The course demystifies AI concepts for product decision-making, enabling participants to collaborate effectively with data science and engineering teams.

Participants will also examine responsible AI practices, governance considerations, and the design of LLM-powered products. By the end of the programme, learners will be equipped to lead AI product initiatives with clarity, balancing innovation, risk, and user value.

## Prerequisites

- Basic product management knowledge
- Familiarity with digital products
- Interest in AI and data-driven solutions

## What you will learn

- Design AI-powered product strategies
- Analyse use cases for AI suitability
- Implement data strategies for AI products
- Lead cross-functional AI product teams
- Communicate AI concepts to stakeholders
- Evaluate AI performance and product outcomes

## Skills you will gain

- AI product strategy design
- Model selection basics
- Data strategy planning
- LLM feature design
- Responsible AI practices
- AI product metrics

## Career progression

- AI Product Manager
- Product Manager
- Technical Product Owner
- Innovation Lead
- Data Product Manager

## Curriculum

1. **Module 1:  AI Product Thinking and Strategy**
   - AI vs traditional product models
   - Identifying AI opportunities
   - Value and feasibility assessment
2. **Module 2: AI Use Cases and Problem Framing**
   - Framing AI-driven problems
   - Use case prioritisation
   - Mapping business outcomes
3. **Module 3: Model Selection and Capabilities**
   - Types of AI and ML models
   - Selecting appropriate models
   - Understanding limitations and trade-offs
4. **Module 4: Data Strategy for AI Products**
   - Data requirements and quality
   - Data sourcing and pipelines
   - Data governance basics
5. **Module 5:  LLM Product Design**
   - Designing LLM-powered features
   - Prompt design fundamentals
   - Human-in-the-loop systems
6. **Module 6: Responsible AI in Product**
   - Ethical considerations in AI
   - Bias, fairness, and transparency
   - Risk management and compliance alignment
7. **Module 7: Building and Delivering AI Products**
   - Cross-functional collaboration
   - AI product lifecycle
   - Iteration and deployment strategies
8. **Module 8: AI Product Metrics and Performance**
   - Measuring AI product success
   - Model performance vs product metrics
   - Continuous monitoring and improvement

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Do I need a technical background for this course?**

No, the course is designed for product professionals without deep technical expertise.



**Will I learn how to build AI models?**

No, the focus is on managing and applying AI, not building models from scratch.



**Are LLMs covered in this course?**

Yes, including design and practical use in products.



**Does the course address AI ethics?**

Yes, responsible AI and governance are key components.



**What roles can I progress to after this course?**

You can move into AI Product Manager or innovation-focused roles.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | BLM-0070 |
| Duration | 3 days |
| Level | Professional |
| Track | Agile & Product Delivery |
| Category | Business, Leadership & Project Management |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [AI Product Management](https://xcademia.com/courses/ai-product-management). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/ai-product-management
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt