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Duration 7 hours
Course Outline
Module 1: Grasping Prompting in IT Settings
- The definition of prompting and its significance for IT professionals.
- Understanding how AI models interpret context, instructions, and role assignments.
- Key prompt elements: intent, role, context, constraints, and output format.
- Identifying common prompting pitfalls and strategies to avoid them.
Module 2: Advanced Structured Prompting Methods
- Applying frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting.
- Building reusable prompt templates for recurring IT challenges.
- Designing prompts at both the system level and for specific tasks.
Module 3: IT Applications and Practical Exercises
- Drafting and optimizing prompts for:
- System troubleshooting and diagnostic processes
- Configuration and deployment documentation
- Code reviews and script generation
- Client communications and knowledge base maintenance
- Prompt iteration and validation: ensuring both accuracy and consistency.
Module 4: Embedding Prompting into IT Workflows
- Integrating AI prompting into IT service management and consulting practices.
- Managing prompt libraries, versioning, and documentation standards.
- Navigating ethical and secure AI usage within enterprise environments.
- Future steps: exploring advanced prompting tools and automation frameworks.
Conclusion and Q&A
- Summary of core concepts.
- Group reflection on best practices and key takeaways.
- Actionable insights for ongoing skill development.
Requirements
- Basic familiarity with IT concepts, system workflows, or technical documentation.
- Practical experience using AI tools (such as ChatGPT, Copilot, or comparable platforms) in daily tasks.
Target Audience
- IT Consultants
- System Administrators
- Technical Project Managers
- AI-Enabled Solution Designers
Testimonials (2)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
use of proper and effective prompt
