AI Management and Generative AI

Course overview

AI Management and Generative AI combines the management of artificial intelligence in companies with the targeted use of generative AI tools for text, image, audio, and code. The focus is on selecting application areas, establishing quality frameworks for generated content, and integrating generative AI into everyday work. The training conveys the tasks of a manager for Generative AI, from evaluating tools to measuring impact. Fundamentals for Management Decisions Those who manage generative AI must be able to classify its operation and limitations. - Understand the operation of language models, image, and audio generators - Realistically assess strengths, limitations, and typical errors such as hallucinations - Overview of services like ChatGPT, Copilot, Claude, and Gemini, as well as selection criteria Identifying Application Areas for Generative AI - Capture use cases for text, image, audio, and code generation in specialist areas - Evaluate benefits by department and prioritize use cases - Plan pilot projects for generative tools and evaluate results - Weigh use cases against effort, data availability, and risk Establishing Workflows and Prompting in the Company Generative AI delivers reliable results when processes and templates are aligned. - Prompt Engineering as a team standard: templates, roles, and context specifications - Support recurring tasks in text, research, and presentation with generative AI - Define limits of use for confidential data and decisions Managing the Quality of Generated Content - Establish quality criteria and approval processes for generated content - Regulate labeling and documentation of AI-generated content - Define handling of errors, biases, and copyright issues - Build review routines for texts, images, and code before publication Law and Responsibility Generative AI touches on copyright, data protection, and the obligations of the EU AI Regulation. - Classify transparency and labeling obligations - Consider data protection when using external AI services - Develop guidelines for the responsible use of generative tools Embedding in the Company - Organize skill development in teams and involve multipliers - Accompany the introduction of generative AI as a change process - Evaluate and report the impact of use based on key figures This training conveys the management of generative AI in corporate use, from the selection of tools to integration into everyday work.

Upcoming dates

• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-17T23:00:00.000Z · 2027-01-19T23:00:00.000Z · Virtuelles Klassenzimmer

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