Successful AI Product Creation
A 9-Step Framework
Created by Shub Agarwal
Explore a practical framework for building AI products that deliver real business value. You'll learn how to connect business goals with machine learning, manage the full product lifecycle, and address key challenges like ethics and model drift. Gain the skills to bring reliable and responsible AI solutions to market.
Wiley | Sep 2026 | 304 min
What You Will Learn
You'll follow a structured nine-step process that guides you from strategy to operations. Each section connects business needs with machine learning concepts, practical tools, and real-world examples. By applying these steps, you'll gain hands-on experience in managing AI products from idea to launch and beyond.
Key Features
- Map business goals to AI solutions and create effective product roadmaps
- Integrate machine learning with product delivery and set clear acceptance criteria
- Address ethics, explainability, and model drift for responsible AI operations
Target Audience
Ideal for product managers, AI product leaders, startup founders, and tech professionals who already understand product development. If you're looking to confidently manage AI or generative AI products and need a clear framework for integrating machine learning, ethics, and operations, this course is designed for you.
