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Nailing Your Data & AI Use Case Roadmap

2 Weeks


Cohort-based Course

Examine the impact data and AI can have on your business and create an actionable use case roadmap - live in the course!

Hosted by

Tobias Zwingmann

Sr. Data Scientist, 15+ yrs. corporate, built $50k+ data-driven B2B products

Course overview

The best way to start data projects? Stop leaving it all to the data scientists!

Your knowledge is the key to a successful Data & AI project. 

Learn timeless frameworks such as Impact Mapping and the 4V-Analysis that let you leverage your business and domain knowledge to spot high-value data and AI use cases and turn them into successful data projects.

Who is this course for


You’re a corporate business leader or startup founder who wants to leverage data & AI to enhance your business.


You want to turn loose ideas into an actionable, prioritized use case roadmap and finally ship your fist Minimum Viable Product (MVP).


You’re in a consulting role and want to upgrade your skills to add innovative data & AI use cases to your portfolio.

What you’ll get out of this course

Turn business problems into data problems

Learn how to translate business problems into data problems and communicate these with data scientists so you can find the most relevant use cases and get your initiative off the ground.

Assess feasibility of your use case ideas

Learn the essential frameworks and guiding questions that let you assess the estimated complexity of your desired use cases.

Avoid typical pitfalls

Don't make the same mistakes as everyone else and avoid the sunk cost fallacy that so many ML projects have fallen victim to.

Build a prioritized roadmap

Rank your use cases by business impact and feasibility to identify emerging champions and low-hanging fruit that you can implement quickly.

Identify your best prototype candidate

Tackle your roadmap step by step and learn essential techniques to ship your first data-driven MVP.

Write solid requirements documents for data projects

Set your use case up for success by writing crystal clear requirements that any data scientist can actually work with.

Learn to ask the right questions and communicate effectively with data scientists

Stop asking data scientists questions that only lead to more questions. Get over the back and forth and establish a communication loop that delivers results.

Know what it takes to make data science projects succeed

Apply iterative thinking and use agile project delivery techniques to meet expectations and build your data science use cases piece by piece.

Meet your instructor

Tobias Zwingmann

Tobias Zwingmann

Senior Data Scientist | Managing Partner | Author

Tobias is a Senior Data Scientist with a strong entrepreneurial bias.

He has more than 15 years of professional experience in a corporate setting, where he was responsible for building various Data Science use cases and developing an enterprise-wide data strategy.

His use cases led to the development of several internal and external data-driven products and improved processes, for example a new data-driven B2B service that quickly turned into an additional six-figure revenue stream for the business.

In 2020, he co-founded the German AI startup RAPYD.AI, where he's currently managing partner. Tobias recently wrote his first book "AI-Powered Business Intelligence", published by O'Reilly Media, USA.

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Course syllabus


Data Analytics & AI Capabilities

Understand the fundamental building blocks of what data analytics and AI can do. You'll learn about essential concepts such as the analytical maturity model but, also more advanced things such as AutoML, AI-as-a-service and Large Language Models. 


Mapping Business Impact

Learn to systematically assess and prioritize the potential business impact of a data use case using proven methods such as the impact mapping technique.


Assessing Use Case Feasibility

Learn what questions to ask to assess the overall complexity and feasibility of a data use case, and assess feasibility using an assessment framework that evaluates data across 4 dimensions.


Use Case Prioritization and MVP Phase

Create your 100-days use case roadmap to prioritize your data projects, line up your high-priority candidates, and craft a compelling requirements document or business proposal to launch your first prototype or Minimum Viable Product (MVP).

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
How do I get this reimbursed by my company?
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Nailing Your Data & AI Use Case Roadmap