AI (Artificial Intelligence) in the Workplace: AI Applications, AI Tools & AI Data Analysis

Course overview

This practical course provides you with a solid understanding of AI applications, generative AI systems, and modern AI tools. Learn how to seamlessly integrate AI technologies into your daily work, accelerate routine tasks through AI automation, and make data-driven decisions using AI analysis. Acquire future-proof AI skills and discover how to apply AI software legally, in compliance with data protection regulations, and efficiently in your company. Course Content & Modules (Strategic AI Keyword Density) Module 1: Basics of AI & Potential of Artificial Intelligence Introduction to Artificial Intelligence (AI), Machine Learning, and generative AI models. Overview of current AI trends, AI software, and leading AI platforms. Applications and benefits of AI solutions in various business areas. Module 2: AI Tools in Daily Work & AI Prompting Practical use of leading AI tools (e.g., ChatGPT, Copilot, AI text and image generators). Methodology of AI prompting: optimizing AI results through precise instructions. Increasing efficiency in the office through AI-supported research, text creation, and summarization. Module 3: AI Data Analysis & AI Process Optimization Analysis of business data and reports using AI applications. Identification of AI use cases to optimize everyday work processes. Building simple AI workflows to relieve repetitive tasks. Module 4: AI Law, AI Data Protection & Responsible Use of AI Legal basics when working with Artificial Intelligence (AI) (GDPR, copyright). Compliance and requirements of the EU AI Act for operational AI use. Data protection-compliant handling of confidential data in AI systems and AI tools.

Upcoming dates

• 2026-10-04T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Wiesbaden · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-12T23:00:00.000Z · München · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-10-04T22:00:00.000Z · 2026-11-12T23:00:00.000Z · München · Combined Learning