Identify & economically realize AI projects
From an accepted workaround to an AI product that finds its way into everyday life
4.5
Did you know?
This course is part of the certified Master Class "AI Manager". By booking the entire Master Class,you save 20 percentcompared to booking the individual modules.
- Introduction to the Course
- Data management as the basis for AI use cases
- Finding Good Problems
- Initiating Use Cases Using Design Methods
You will apply the methods from Module 1 to your own use case:
- Develop a Vision
- qualitative interview
- Undergo a pain test
- Value Proposition Canvas
- Reflection on the Self-Study Unit in the Learning Group
- In-depth insights into data strategies and use-case categories
- Methodical generation and criteria-based evaluation of use cases using the quantified benefit-cost matrix.
You'll turn your use case from Module 3 into a robust business case:
- Cost accounting
- Benefits and ROI
- Quantification of the Problem
- Framework for Internal AI Transformation
- Developing AI products that find their way into everyday life
- 4D structure
- Pilot Program with Power Users
- Measuring Adoption
- Building Data Network Effects
- Winning stakeholders
- Finding Good Problems for AI: Identifying Workarounds That Have Been Accepted as “Part of the Job”
- Understanding and Evaluating Data Maturity as the Foundation for Use Cases
- Initiating Use Cases with Design Methods: Vision, Qualitative Interviews, Value Proposition Canvas, Pain Test
- Prioritizing Use Cases by Quantifying Them: Benefit/Effort Matrix with Fixed Level Definitions
- Measuring Cost-Effectiveness: Business Case, ROI, Break-Even Point, Realistic Efficiency
- Developing In-House AI Products: 4D Framework (Discover, Design, Develop, Deploy), Human-in-the-Loop, RAG at the Core
- Measuring and Ensuring Adoption: Dual Success Metrics (Engagement & Accuracy)
- Building Data Network Effects as a Long-Term Competitive Advantage
This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning Community:A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.
Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).
- You’ll develop a keen eye for the invisible process gaps in your organization and translate them into concrete AI projects with strategic relevance
- You work with a quantified evaluation grid that objectifies prioritization discussions and brings all stakeholders to a common data foundation
- You develop business cases that stand up to scrutiny by the CFO—including operating costs, realistic efficiency rates, and break-even calculations over several years
- You are familiar with the 4D structure as a modern project structure for probability-based systems and understand how compliance, design, and development are interrelated
- You build internal AI products that are actually adopted because they're right where the work happens
- You measure success using dual performance metrics and can identify early on when employees, under pressure, revert to old habits
- You'll take home templates, tools, and a full toolkit of methods that you can apply directly to your own project
- You'll gain expertise in a field that is already in high demand today and will be a strategic core component of every organization in the coming years
A well-thought-out mix of content, methods and support is essential for successful learning, especially in blended online learning. Our course concept is precisely tailored to this: structured self-study phases with a high level of activity on your part, in-depth trainers and interactive live workshop sessions, best-practice examples, practical exercises, discussions and sharing experiences in the learning community.
This course is designed for anyone who is responsible for or initiates AI projects in companies—across all industries:
- Product owners, product managers , and project managers who oversee AI initiatives
- CDOs, CAIOs, and technical and subject-matter experts seeking a structured introduction to strategic AI work
- Organizational developers and lateral leaders who use AI as a lever for transformation
- Entrepreneurs and decision makers who want to evaluate and prioritize AI projects from a business perspective
This course is suitable for newcomers with a basic understanding of AI, as well as for experienced practitioners who want to refine their methodology and apply it to their own use case.
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Mastering the future
Recognize & implement AI potential in the company - with the Master Class "AI Manager:in".
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