AI Solution Design

About the course

One of the first steps for organizations to embark on AI transformation is to identify and design the most impactful AI use cases. This design phase should already address the key challenges to achieving impact: operationalizing AI solutions in the business processes. The common tendency is to think technology-forward: What business problems can we solve with machine learning? How can we use the data that we have? While you might strike gold on occasion, in general, AI should not be considered a hammer looking for a nail. This course demonstrates how to take a structured and disciplined approach to designing AI use cases, maximizing the chances of success. You will learn how to design a minimal viable product (MVP) that can be implemented and deliver impact after three to six months. Moreover, you will learn from our experts with years of experience on how to prevent typical pitfalls. After just one day you will be better equipped to make a holistic design for the change you want to make with AI.

Why this is for you

AI use cases are difficult to design well and chances are you are failing to make a structural impact from innovations with AI. This course will give you the tools to master use case identification and design, and identify the specific challenges your company is facing.

For whom

This module is perfect for Data Scientists and Business Leaders who have previously completed our Structured Opportunity Finding badge (1201). It helps you to translate your business opportunities to a holistic use case design.

What you’ll learn

1. Translation of business opportunities to AI-driven change
2. Design of end-to-end in an early stage of use case development
3. Simplification of use case components to an MVP
4. Key design questions
5. Design pitfalls

Learning Goals

• Use Case Identification
  • Be able to translate a business opportunity to an AI-driven change
• Use Case Design
  • Learn the key components and characteristics of an MVP design
  • Understand the key design questions per use case component
  • Be able to prevent design pitfalls

Theory and practical use

All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.