Did you know?
This course is part of the certified Master Class "AI Manager:in". If you book the entire Master Class, you save 22 percent compared to booking the individual modules.
- Data management as the basis for AI use cases
- Finding good problems for AI projects
- Use case initiation with design methods
Application of what you have learned from Module 1 to your own use case:
- Data management as the basis for your own AI use case
- find a good problem for your own AI project
- Initiate your own use case with design methods
- Generate AI use cases methodically
- Analyze and evaluate AI use cases based on criteria
- Making the profitability of the AI use case measurable
Application of what you have learned from Module 3 to your own use case:
- Methodically generate your own AI use case
- analyze and evaluate your own AI use case based on criteria
- Make the profitability of your own AI use case measurable
- Making project ideas visible and tangible at an early stage
- gain the acceptance of stakeholders for the AI project plan
Contents
1. identify the right AI project candidate
- Data management as the basis for AI use cases
- Finding good problems for AI projects
- Use case initiation with design methods
2. hands-on: identify your own AI project candidate
Application to your own use case:
- Data management as the basis for your own AI use case
- find a good problem for your own AI project
- Initiate your own use case with design methods
3. analysis and evaluation of the AI project candidate
- Generate AI use cases methodically
- Analyze and evaluate AI use cases based on criteria
- Making the profitability of the AI use case measurable
4. hands-on: analyze and evaluate your own AI project candidate
Application to your own use case:
- Methodically generate your own AI use case
- analyze and evaluate your own AI use case based on criteria
- Make the profitability of your own AI use case measurable
5. make project ideas visible & communicate them to the company
- Making project ideas visible and tangible at an early stage
- gain the acceptance of stakeholders for the AI project plan
This is how you learn in this course
This online course offers you a digital blended concept that has been developed for part-time learning. With a time budget of 4-5 hours per week, you are sure to reach your goal. Alternatively, you can schedule the learning units flexibly. This is how you learn in this course:
Self-study phases: Learn independently, at your own pace. Between webinars, we offer you comprehensive self-learning content on a Miro board so that you can apply what you have learned in the webinar to your own use case. Bring your own thoughts and ideas to the Miro board and use them to discuss with the:der trainer and your learning group in the next webinar.
Live webinars: In regular online workshops, you will meet the:die trainer in person. You will receive answers to your questions, feedback on your findings from the self-study phases and specific assistance to deepen your knowledge, take the next step and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the:der trainer and clarify your questions.
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Future Jobs Club: Get exclusive access to a business network, micro-learningssparks), news and future work hacks.
Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate of attendance and an Open Badge, which you can easily share in professional networks (e.g. LinkedIn).
Your benefit
- You are aware that the phase before the actual implementation sets the course for project success, especially in cost-intensive AI projects. Careful use case selection is essential.
- You will learn the central role that data plays in finding AI use cases and that the chances of success in implementing the use case also depend on it.
- You have internalized that well-chosen AI project plans always have strategic relevance and thus create competitive advantages, as they start at the core.
- You analyze and evaluate AI project plans based on criteria and can thus also make their economic benefits measurable.
- You have an eye on resource efficiency and can make well-founded make or buy decisions, among other things.
- You have filled your toolbox to create acceptance and trust for the AI project among the relevant stakeholders right from the start, so that you can start implementation.
- You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
- Take an active part in our learning community and work with your own questions - this is how you will benefit most from this online training. This allows you to apply the content both in self-study and in practical exercises.
Methods
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 trainer and interactive live workshop sessions, best-practice examples, practical exercises, discussions and sharing experiences in the learning community.
Recommended for
This course is aimed at anyone who wants to implement AI projects in companies or is planning the large-scale use of AI tools. We recommend this course to people from all industries:
- product managers and project managers
- Product owner and product leads
- Persons with lateral management tasks
- Entrepreneurs, decision makers and organizational developers.
- The course also provides CDOs (Chief Digital Officers), CAIOs (Chief AI Officers) and technical managers and specialists with an ideal introduction to the topic.
With this course, you will learn everything you need for the careful introduction of AI in companies. It is equally suitable for newcomers and career changers as well as for people with prior knowledge who want to deepen their AI knowledge and put it into practice.
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