AI - Prompting for AI Tools

Course overview

AI: Prompting for AI Tools This highly practical intensive course transforms you from a simple user into a strategic director in dealing with Artificial Intelligence. The quality of the results you obtain from tools like ChatGPT, Claude, Midjourney, or Copilot critically depends on the quality of your inputs. Prompt Engineering is the key competence of the digital age: those who prompt precisely save hours of work daily and elevate the quality of their work results to a new level. Course Content 1. The Foundation of Prompting Structure and Anatomy of the Perfect Prompt Context, Role, Task, Constraints, and Target Audience for reproducible, top-notch results 2. Advanced Prompt Techniques Practical use of frameworks like Few-Shot Prompting Activating Chain-of-Thought and Iterative Prompting 3. AI as a Sparring Partner in Workflow Designing prompts for complex business tasks Automated text and code generation, strategic market analyses, and more 4. Dealing with Limitations Minimizing the dreaded "hallucination" of AI Recognizing bias and optimally utilizing token limits 5. Prompt Libraries & Automation Building your own scalable prompt templates for the entire team Standardizing workflows in the company You will acquire the tools to integrate AI tools as highly efficient digital assistants into your daily work. The course is aimed at professionals from all departments (Marketing, Sales, HR, IT, Management), freelancers, and knowledge workers who want to achieve a massive productivity leap through intelligent prompting. Thematic Classification and Competence Areas The ongoing development in the field of AI (Artificial Intelligence) requires the continuous building of modern tech skills. The technological spectrum of AI encompasses fundamental disciplines such as Machine Learning and Deep Learning, which serve as the basis for advanced systems. In practice, specialized AI tools - including applications like ChatGPT (Google Gemini) - are gaining increasing importance to realize efficiency gains through automation. Another important core area is modern data analysis, where methods of Artificial Intelligence help to accurately evaluate complex information volumes. Mastery of these AI-supported procedures forms the foundation for contemporary and data-driven work.

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-11-10T23:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-10T23:00:00.000Z · Wiesbaden · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-10T23:00:00.000Z · München · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-10T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-10T23:00:00.000Z · München · Combined Learning