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Duration 7 hours
Course Outline
Module 1: Prompting in IT Contexts
- The definition of prompting and its significance in IT operations.
- How AI models handle context, instructions, and role definitions.
- Key prompt elements: intent, role, context, constraints, and output format.
- Identifying common prompting errors and strategies to prevent them.
Module 2: Structured Prompting Strategies
- Applying frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting.
- Developing reusable prompt templates for recurring IT tasks.
- Designing system-level and task-specific prompts.
Module 3: IT Applications and Practical Exercises
- Crafting and optimizing prompts for:
- System troubleshooting and diagnostics.
- Configuration and deployment documentation.
- Code review and script generation.
- Client communication and knowledge base maintenance.
- Prompt iteration and validation to ensure accuracy and consistency.
Module 4: Embedding Prompting in IT Workflows
- Integrating AI prompting into IT service management and consulting practices.
- Managing prompt libraries, versioning, and documentation.
- Ethical and secure AI utilization in enterprise settings.
- Future pathways: exploring advanced prompting tools and automation frameworks.
Wrap-up and Q&A
- Summary of core concepts.
- Collective reflection on best practices and key takeaways.
- Actionable insights for ongoing skill development.
Requirements
- Working knowledge of IT concepts, system workflows, or technical documentation.
- Practical experience with AI tools (such as ChatGPT, Copilot, or similar platforms) in a professional context.
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
