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Duration 7 hours
Course Outline
Module 1: Prompting Foundations in IT Environments
- The definition of prompting and its significance in IT operations.
- Mechanisms by which AI models interpret context, directives, and role assignments.
- Essential prompt elements: intent, role definition, context, constraints, and output format.
- Identifying and mitigating common prompting errors.
Module 2: Advanced Structured Prompting Techniques
- Applying frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting.
- Developing reusable prompt templates for recurring IT tasks.
- Engineering both system-wide and task-specific prompt structures.
Module 3: Practical IT Applications and Workshops
- Optimizing prompts for key scenarios:
- System diagnostics and troubleshooting.
- Configuration and deployment documentation.
- Code reviews and script generation.
- Client communication and knowledge base maintenance.
- Validating and iterating prompts to guarantee accuracy and consistency.
Module 4: Workflow Integration in IT
- Embedding AI prompting into IT service management and consulting practices.
- Managing prompt libraries, version control, and documentation.
- Ensuring ethical and secure AI deployment within enterprise settings.
- Future outlook: exploring advanced prompting tools and automation architectures.
Wrap-up and Discussion
- Summary of core concepts.
- Collective review of best practices and key insights.
- Actionable steps for ongoing professional development.
Requirements
- Foundational knowledge of IT concepts, system workflows, or technical documentation.
- Practical experience using AI tools (such as ChatGPT, Copilot, or equivalents) in daily professional activities.
Target Audience
- IT Consultants
- System Administrators
- Technical Project Managers
- AI-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
