AI Product Ideation: Principles and Practical Applications
2h 6mIntermediate2025-04-25
Authors
Maria Parysz
Course details
In this course, Maria Parysz—the CEO and owner of ElephantAI—presents you with the skills to identify and analyze business challenges that you can address effectively with AI. Learn to recognize valuable opportunities for AI-driven solutions and develop strategies to add significant impact within your organization. Explore practical ideation techniques, including how to conduct AI ideation workshops and implement organization-wide strategies for idea collection. Gain insight into generating completely new AI product concepts, fostering innovation at every level. Plus, dive into the process of transforming AI ideas into workable project concepts, so you can prepare to have your idea evaluated and selected by decision-makers. The course includes a set of useful templates to streamline ideation, fast project estimates, and initial analysis, enabling efficient initial AI descriptions.
Learning objectives
Identify important concepts around problem identification and opportunity recognition.
Develop skills to identify problems that AI can effectively address, analyze business challenges, and recognize opportunities where AI-driven solutions could add significant value.
Articulate ideation techniques.
Gain practical knowledge of how to conduct AI ideation workshops and extract ideas for AI projects, including organization-level ideas collection and coming up with completely new AI products.
Define the steps to make your idea a workable project concept, including fast project estimates.
Learning objectives
Identify important concepts around problem identification and opportunity recognition.
Develop skills to identify problems that AI can effectively address, analyze business challenges, and recognize opportunities where AI-driven solutions could add significant value.
Articulate ideation techniques.
Gain practical knowledge of how to conduct AI ideation workshops and extract ideas for AI projects, including organization-level ideas collection and coming up with completely new AI products.
Define the steps to make your idea a workable project concept, including fast project estimates.
Skills covered
Product ManagementCreativityArtificial Intelligence FoundationsGraphic DesignArtificial Intelligence (AI)Professional DevelopmentBusiness Analysis and StrategyOne-Off
Concepts
0. Introduction
- 01 - Introduction
1. The Challenges of AI
- 02 - AI mistakes to avoid
- 03 - Options for getting AI into your company
- 04 - AI wishing well
- 05 - Overview of AI implementation process
- 06 - Strategies for finding AI ideas
- 07 - I know what I want The problem-solution process
- 08 - AI idea collection
- 09 - Key concepts - persona, integration
- 10 - Key concepts - Data
2. Collecting Ideas
- 11 - Ideation workshop - Preparation
- 12 - Ideation workshop - Core process
- 13 - Ideation workshop - Best practices
- 14 - What you should know before ideating
- 15 - Ideation workshop - Presentation
- 16 - Ideation workshop - Outcomes
- 17 - Organizational ideation - Idea collection
- 18 - Organizational ideation - Best practices
- 19 - Organizational ideation - Outcomes
- 20 - Coming up with completely new AI products
- 21 - Coming up with completely new AI products - Examples
3. Exploring Ideas - Concept Development
- 22 - What happens to the idea
- 23 - Project idea checklist
- 24 - Fast-track estimations
- 25 - The final project idea
Conclusion
- 26 - Next steps