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Generative AI for Product Development & Innovation in 2026
Rating: 4.5 out of 5(5 ratings)
117 students

Generative AI for Product Development & Innovation in 2026

A step-by-step guide to turning product ideas into testable experiments with AI
Last updated 11/2025
English

What you'll learn

  • How to create a structured experiment plan
  • How to identify and categorize assumptions
  • How to prioritize assumptions and formulate hypotheses
  • How to design and conduct experiments

Course content

1 section14 lectures56m total length
  • Introduction2:17
  • Experimentation Framework6:49
  • Idea Experiment Plan5:12
  • Your Idea11:28
  • Extract Assumptions7:02
  • Desirability Assumptions4:27
  • Viability Assumption3:15
  • Feasibility Assumptions1:32
  • Miscellaneous Assumptions1:19
  • Extracting Assumptions0:22
  • Mapping Assumptions2:47
  • Prioritizing Assumptions3:20
  • Hypotheses5:01
  • Experimentation2:08

Requirements

  • No AI experience required

Description

Are you sitting on a product idea but not sure if it will work?
In today’s fast-paced world, building without validation is risky. What if you could test assumptions, design experiments, and validate your product idea quickly — with the power of Generative AI?

This course gives you a practical, step-by-step framework to take your product idea from concept to a well-structured experiment plan. You’ll learn how to extract assumptions, map and prioritize them, design hypotheses, and finally build experiments, all supported by Generative AI tools.

By the end of this course, you will be able to:
1. Understand how Generative AI can accelerate product innovation
2. Apply a proven experimentation framework to your own ideas
3. Identify, map, and prioritize assumptions for any product idea
4. Turn assumptions into testable hypotheses
5. Design low-cost, high-impact experiments to validate ideas before building


What You'll Learn:

Understanding Generative AI: Get a foundational understanding of Generative AI and its application in product development.

The Experimentation Framework: Learn a robust framework for designing and conducting experiments to test AI-generated ideas.

Idea Generation & Extraction: Discover methods to generate a wide range of product ideas and extract key assumptions from them.

Assumption Mapping & Validation: Prioritize and map critical assumptions, and develop strategies for effectively validating desirability, feasibility, and viability.

Hypothesis Formulation & Experimentation: Formulate clear hypotheses and design experiments to test your assumptions, enabling data-driven decision-making.


Who is this course for?

  • Product managers looking to test new features

  • Entrepreneurs validating startup ideas

  • Innovators & intrapreneurs inside organizations

  • Anyone curious about using Generative AI for practical business applications

You don't need any prior technical or AI expertise. This course is designed to be hands-on, practical, and beginner-friendly.

Take your idea one step closer to reality. Let’s start experimenting with Generative AI!

Who this course is for:

  • Product Managers
  • Sofware Developers
  • Project Managers
  • Management Trainee
  • Sales Trainee
  • Sales Executive
  • Final Year students
  • AI enthusiasts
  • Product enthusiasts