NextGen AI
Intermediate33% off

AI Product Management

Build and launch AI-powered products that users love and businesses need.

4.7
(3,500)
3,500 studentsEnglish

Created by Rebecca Hollis · AI Strategy Advisor, ex-McKinsey

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$215$319Save 33%
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This course includes

  • 15 video lessons
  • 4h of content
  • Downloadable resources
  • Full lifetime access
  • Certificate of completion
  • 30-day money-back guarantee

What you'll learn

  • Identify high-impact AI product opportunities within your market.
  • Define a clear AI product strategy aligned with business goals.
  • Manage the end-to-end AI product lifecycle, from ideation to iteration.
  • Effectively collaborate with data scientists and engineers on AI projects.
  • Understand and mitigate ethical risks associated with AI products.
  • Develop data strategies essential for training and improving AI models.
  • Define and track key performance indicators (KPIs) for AI products.
  • Communicate AI product value to stakeholders and customers.

About this course

Artificial intelligence is no longer a futuristic concept; it's a core component of successful products. This course goes beyond basic AI understanding to equip you with the specific skills needed to manage AI products throughout their lifecycle. You'll learn to identify viable AI use cases, define product strategy, and lead cross-functional teams to deliver tangible value. We'll cover the unique challenges of AI product development, from data acquisition and model evaluation to ethical considerations and ongoing performance monitoring. Forget generic frameworks; we're diving into practical techniques for managing the uncertainty inherent in AI projects, ensuring your products are not just innovative but also reliable and user-centric. By the end of this course, you'll be able to articulate AI product vision, translate complex AI capabilities into user benefits, and navigate the technical and business landscapes to bring impactful AI solutions to market. This is about making AI work for your product roadmap.

Course content

5 modules · 15 lessons · 4h

  • Why AI Product Management is DifferentPreview
    15m
  • Identifying AI OpportunitiesPreview
    18m
  • The AI Product Lifecycle
    12m

Requirements

  • Familiarity with product management fundamentals.
  • Basic understanding of machine learning concepts is helpful but not mandatory.
  • Experience working in a product development environment.

Your instructor

R

Rebecca Hollis

AI Strategy Advisor, ex-McKinsey

Rebecca advises boards on where AI creates real value — and where it quietly burns money.