AI Foundations: Ideating and Prototyping
1h 3mIntermediate2025-02-21
Authors

Isil Berkun
Data Scientist at Intel Corp.
Course details
In this course, Dr. Isil Berkun—a former staff AI software development engineer at Intel and currently the founder of DigiFab.ai—provides a comprehensive guide for professionals who want to turn AI concepts into tangible products. Learn how to define clear problem statements that align with business goals, conduct strategic market research, and brainstorm AI solutions focused on feasibility and impact. Discover the art of building lean prototypes and leveraging iterative testing to refine your product iteratively. Master resource estimation and explore various funding options, including venture capital, corporate partnerships, and government grants, tailored to your project's needs. See how to pitch your AI solutions compellingly to attract stakeholders and maintain continuous improvement through structured feedback. Whether you're a CEO, CTO, or head of product, this course will equip you with the strategic insights and practical tools needed to transform AI concepts into impactful products that drive organizational success.
Skills covered
PrototypingArtificial Intelligence FoundationsProduct and ManufacturingArtificial Intelligence (AI)One-Off
Concepts
0. Introduction
- 01 - Transforming ideas into impactful AI products
- 02 - What is AI product ideation
- 03 - Why prototyping matters
1. Identifying the Problem
- 04 - Defining the problem statement
- 05 - Strategic market research and customer fit
2. Ideation Techniques
- 06 - Brainstorming and concept development
- 07 - Evaluating AI solutions
3. Building a Prototype
- 08 - Rapid prototyping and iterative testing
- 09 - Lean startup overview
4. Resource Allocation and Funding Strategies
- 10 - Estimating resource needs
- 11 - Overview of funding options
5. Presenting and Refining Your AI Product Idea
- 12 - Pitching your AI product
- 13 - Refining based on feedback
Conclusion
- 14 - Recap and next steps