AI Image Generation

Course overview

The course "AI Image Generation" provides fundamental and practical knowledge about creating images using Artificial Intelligence. The focus is on how modern AI systems generate images, the technologies behind them, and how these systems can be applied in various professional contexts. The training is aimed at individuals from fields such as marketing, communication, design, media production, e-commerce, social media, content creation, or corporate communication, as well as those interested in exploring the possibilities of automated image creation through AI. At the beginning of the course, participants receive an introduction to the basics of Artificial Intelligence and its application in the field of image generation. It explains how AI models generate images, the role of training data, and how generative image models are structured. Participants will learn key terms and technologies related to AI image generation, such as generative models, neural networks, training processes, and the processing of large data sets for pattern recognition. The goal is to develop a fundamental understanding of how AI systems for image generation work and to contextualize their possibilities and limitations. A significant component of the course is the practical application of AI tools for creating visual content. Participants will learn how image generators can be used to create illustrations, graphics, visualizations, or creative image concepts. It will be taught how to structure inputs to generate desired image styles, motifs, or representations. Participants will engage with different image styles, design elements, and variations of image generation to develop visual content purposefully. Furthermore, the course addresses how AI-generated images can be used in various professional areas. Examples include creating image material for websites, presentations, marketing materials, social media content, or digital products. Participants will learn how AI image generation can support workflows in visual content creation and which tasks are particularly suitable for automated image production. It will also discuss how AI-generated images can be integrated into existing workflows. Another focus is on evaluating and editing AI-generated images. Participants will learn to critically assess results, select image variants, and adjust or further develop generated content as needed. Typical challenges in AI image generation will also be discussed, such as issues with image details, perspectives, or the consistency of representations. In addition to practical applications, legal and organizational aspects of using AI image generators will also be addressed. This includes questions of copyright, the use of training data, the labeling of AI-generated content, and the responsible handling of visual representations. Participants will engage with legal frameworks and ethical issues that must be considered when using AI-generated images. The course also teaches how AI image gen…

Upcoming dates

• 2026-11-24T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Herford · Combined Learning
• 2026-11-24T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Düsseldorf · Combined Learning
• 2026-11-24T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Berlin · Combined Learning
• 2026-11-24T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Köln · Combined Learning
• 2026-11-24T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Düsseldorf · Combined Learning

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