AI Express

The training offers practical examples and use cases that help you recognize where AI creates real added value. You will learn how to analyze possible applications and what requirements need to be met—from data and technology to team skills—so that you can identify specific areas of application in your organization.

You will gain an overview of the most important steps for successful AI projects, from data preparation to resource planning. The training guidance on how to make a successful strategic start and which factors should be taken into account when developing a roadmap for AI deployment.

Challenges can include poor data quality, unclear expectations within the team, or a lack of expertise. In training , you training how to identify these hurdles, what requirements are necessary for AI projects, and how you can address them with a structured approach, an understanding of roles, and the right technology.

You will learn not only the theoretical basics, but also practical aspects such as the effective use of AI tools and writing successful prompts, which are important for accurate and efficient results. This will increase your efficiency and your skills in using AI-supported applications.

The training the skills, technical requirements, and team roles that are important in AI projects. This will enable you to better assess which internal and external resources you need for a project in your everyday work and how to coordinate them.