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.
After the presentation and an introduction to the learning environment, the participants and the:der trainer will immerse themselves in scenarios that show the challenges involved in operationalizing AI projects.
- AI in real use: examples from various industries
- Influence of AI on innovation and competitiveness
- Correcting misconceptions about AI
- Key elements of successful AI projects
- Case study analysis: What makes an AI project successful?
- Best practices: learning from the successes of others
- AI as part of the corporate vision
- Integration of AI into existing business strategies
- Competencies and roles in productive AI teams
- Team dynamics and collaboration in AI projects
- Executives and managers in AI projects
- Step by step to a customized AI strategy
- Flexibility and adaptability of the AI strategy
- Guidelines and standards for the use of AI
- The COSIMA principle - a guide for your AI strategy
- Measuring progress and monitoring KPIs
- Continuous improvement with Build-Measure-Learn
- Risk management and crisis management in AI projects
After reflecting on the content from the first self-learning phases, the expert goes through the entire process of AI strategy development together with the learning group and provides an outlook on the challenges of implementation.
- Introduction to AI technologies and tools
- AI platforms and frameworks in comparison
- The guide for AI technology decisions
- Overview of leading LLMs and their providers
- Application examples and areas of use for LLMs
- Integration of LLMs into existing AI platforms
- The most important foundation: effective data management
In this self-study unit, trainer Björn Rosenthal describes in detail his practical experience, including his current projects for the DFL (German Football League) and other projects for large companies.
In the final live webinar, final questions are first clarified and the content from the self-study phases is reflected on together. The learning group then goes through the entire process of executing an AI strategy under the guidance of the:die trainer and is presented with special challenges in the process.
Contents and course schedule
Start 1st AI adventure: Getting started
- AI in real use: examples from various industries
- Correcting misconceptions about AI
- Patterns of success: criteria for successful AI projects
- Case study analysis: What makes an AI project successful?
2. vision and innovation: AI in the corporate strategy
- AI as part of the corporate vision
- Integration of AI into existing business strategies
- Developing future-oriented AI strategies
- How AI will change the business world
3. the toolbox for AI: not always starting from scratch
- AI technologies and tools at a glance
- The right choice: AI platforms and frameworks
- Understanding and applying large language models (LLMs)
- Effective data management
4th Team Superpower: Roles and competencies in AI projects
- Skills and characteristics for AI team members
- Team dynamics and collaboration in AI projects
- Executives and managers in AI projects
- Case studies and success stories
5 The AI master plan: Everything that is part of the strategy
- Step by step: developing the AI strategy
- Overcoming hurdles: risk management in the age of AI
- Learning from the best: successes and stumbling blocks
6. change makers: AI as a catalyst for change
- AI and corporate culture
- Mastering ethical challenges
- Shaping the future: AI trends and visions
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 at least 3-4 hours per week, you are sure to reach your goal. Alternatively, you can schedule the learning units flexibly. This is how you learn in the course:
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material with videos, articles, interactive exercises, quizzes and learning checks.
Live webinars: In regular online seminars, you will meet the 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 is available to you throughout the course. Exchange ideas with other participants and the trainers and clarify your questions.
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 and an Open Badge that you can easily share in professional networks (e.g. LinkedIn).
Your benefit
You will learn what is important when implementing AI projects and how to successfully introduce AI in the company.
You will learn what is important when setting up AI teams, which roles are required and how to design the interfaces to the rest of the organization.
You will receive helpful tips for change management and which methods you can use to create acceptance for AI in the company.
You will receive important information for the planning and calculation of AI projects and learn how to measure the value contribution of AI.
You will gain an overview of infrastructures, frameworks and platforms - to help you make the right technical decisions.
You will gain insights into successful and failed AI projects and learn how to avoid stumbling blocks.
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 online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.
Methods
Well-founded trainer, presentations, practical exercises, self-reflection, discussions, work aids, group work on participants' real projects and exchange of experience 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 entrepreneurs, decision makers , organizational developers, product managers and project managers. The course is also an ideal introduction to the topic for CDOs (Chief Digital Officers), CAIOs (Chief AI Officers) and technical managers and specialists.
This course provides you with 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.
Attendees comments
"I particularly liked the lecturer's presentation style."

"I can recommend the training due to the quality of the content and the high practical relevance."

"I found these aspects particularly inspiring: AI augments human skills rather than replacing them and supports routine tasks and the provision of contextual information. Practical case studies such as BCG and the Bundesliga show that the success of AI projects depends not only on technology, but also on strategic integration and cultural change. In addition, collaboration between interdisciplinary teams and continuous training are essential to promote innovation and sustainable results."

Seminar evaluation for "Successfully operationalizing artificial intelligence in the company"







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