Building AI Products
Everything between idea and revenue for AI products. Product strategy, user research, AI UX design, GTM, pricing models, and lessons from 50+ AI product launches.
or $230 lifetime $799
- Access to all 12 courses
- All future updates
- Certificate of completion
- 30-day money-back guarantee
About This Course
Most AI engineers can build impressive demos. Few can build AI products that users pay for. This course bridges the gap — covering product strategy for AI, how to find problems worth solving, AI-specific UX design principles, go-to-market for AI products, pricing and monetization models, and the hard lessons learned from real AI product launches. Equal parts MBA and engineering.
What You'll Learn
- Identify AI product opportunities with high PMF potential
- Design AI UX that builds user trust and drives retention
- Define the right AI capabilities for each user job-to-be-done
- Price and package AI products for maximum revenue and retention
- Build and measure AI product metrics beyond standard SaaS metrics
- Run rapid AI product experiments to find product-market fit
- Build AI products that users trust, understand, and advocate for
- Navigate the AI regulatory landscape and safety requirements
- Go to market with AI products using content-led and community strategies
- Learn from post-mortems of notable AI product successes and failures
Who Is This For?
Have the technical skills but want the product and business intuition to build something people will pay for
Working on AI products and want a framework for AI-specific product decisions
Building AI-powered side projects and want to maximize their chance of finding paying customers
Prerequisites
- Building AI-Powered Applications with APIs
- Any AI technical course