AI Solution Design ★★ Practitioner Level
In this one-day badge, you are challenged to translate business opportunities into AI use cases. You will learn how to develop an end-to-end-design and avoid typical mistakes.
PLATFORM MANAGEMENT AND INFRASTRUCTURES
*If you are a group of 5 or more, we are happy to accommodate a date for the training that suits you best. If so, please choose the "Reserve a seat" option.
AI Solution Design
About the courseOne 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 youAI 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 whomThis 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
- Translation of business opportunities to AI-driven change
- Design of end-to-end in an early stage of use case development
- Simplification of use case components to an MVP
- Key design questions
- Design pitfalls
- 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