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How to Price & Position AI Products: The Fundamentals
A practical guide to AI product pricing, cost modelling, market dynamics, value selling, and real examples you can apply
5.039 reviews110 learners
- All Levels
- 54m video
- 21 lectures
- English
- Captions
- Updated 2026
Taught by Arsedian Ivan
- 54m of on-demand video
- 21 lectures across 8 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
8 sections21 lectures54m total
- Introduction1:01
- Content Overview2:15
About this course
Welcome to How to Price AI Products: The Fundamentals Thank you for joining. Pricing is one of those things that seems straightforward, until you actually have to do it. You've built an AI product that solves a real problem, but when someone asks "what do you charge for it?" the answer isn't so clear. This course will give you a structured framework to answer that question with confidence: using real numbers instead of guesswork. What You'll Learn You'll explore the relationship between value, cost, and price…
Before you start
- No prior pricing experience needed. All frameworks are taught from first principles.
- Basic familiarity with AI products, SaaS tools, or digital products is helpful but not required.
- Access to a spreadsheet tool (Excel, Google Sheets, etc.) for simple financial modelling exercises.
- An interest in understanding how businesses set and optimize prices for AI-driven products.
Who it’s for
- Product Managers building or managing AI features and needing structured pricing frameworks.
- Startup Founders & Entrepreneurs looking to price their AI products confidently and competitively.
- AI Engineers & Builders who want to understand the business and monetization side of AI.
- Business Analysts & Strategists involved in evaluating AI value, market positioning, or competitive pricing.
- Marketing & Growth Professionals wanting to align pricing with market demand and customer value.
- Anyone looking to learn a practical, real-world approach to pricing AI products using proven models and real examples.
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