Generative Ai For Product Innovation:Idea To Experimentation

Posted By: ELK1nG

Generative Ai For Product Innovation:Idea To Experimentation
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 321.92 MB | Duration: 0h 57m

A step-by-step guide to turning product ideas into testable experiments with AI

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

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 buildingWhat 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 featuresEntrepreneurs validating startup ideasInnovators & intrapreneurs inside organizationsAnyone curious about using Generative AI for practical business applicationsNo prior technical or AI expertise required — 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!

Overview

Section 1: Introduction to Generative AI

Lecture 1 Introduction

Lecture 2 Experimentation Frame work

Lecture 3 Idea Experiment Plan

Lecture 4 Your Idea

Lecture 5 Extract Assumptions

Lecture 6 Desirability Assumptions

Lecture 7 Viability Assumption

Lecture 8 Feasibility Assumptions

Lecture 9 Miscellaneous Assumptions

Lecture 10 Extracting Assumptions

Lecture 11 Mapping Assumptions

Lecture 12 Prioritizing Assumptions

Lecture 13 Hypotheses

Lecture 14 Experimentation

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