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Duration 7 hours
Course Outline
Module 1: Understanding Prompting in IT Contexts
- The definition of prompting and its significance for IT operations.
- How AI models process context, instructions, and role definitions.
- Key prompt components: intent, role, context, constraints, and format.
- Identifying common prompting pitfalls and strategies to avoid them.
Module 2: 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.
- Designing both system-level and task-specific prompts.
Module 3: IT Use Cases and Hands-On Practice
- Writing and optimising prompts for:
- System troubleshooting and diagnostics.
- Configuration and deployment documentation.
- Code review and script generation.
- Client communication and knowledge base updates.
- Prompt iteration and validation to ensure accuracy and consistency.
Module 4: Integrating Prompting into IT Workflows
- Embedding AI prompting into IT service management and consulting practices.
- Managing prompt libraries, version control, and documentation.
- Ethical and secure AI usage within enterprise environments.
- Next steps: exploring advanced prompting tools and automation frameworks.
Conclusion and Q&A
- Recap of core concepts.
- Group reflection on best practices and key lessons learned.
- Actionable takeaways for continued skill development.
Requirements
- Proficiency with IT concepts, system workflows, or technical documentation.
- Practical experience using AI tools (such as ChatGPT, Copilot, or similar) in daily work environments.
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
