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