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Duration 7 hours
Course Outline
Module 1: Understanding Prompting in IT Contexts
- Defining prompting and its critical importance for IT operations
- Exploring how AI models process context, instructions, and role definitions
- Key prompt components: intent, role, context, constraints, and output 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 effective system-level and task-specific prompts
Module 3: IT Use Cases and Hands-On Practice
- Crafting and optimizing prompts for specific scenarios:
- System troubleshooting and diagnostics
- Configuration and deployment documentation
- Code review and script generation
- Client communication and knowledge base maintenance
- Iterating and validating prompts to ensure accuracy and consistency
Module 4: Integrating Prompting into IT Workflows
- Incorporating AI prompting into IT service management and consulting practices
- Managing prompt libraries, version control, and documentation
- Ensuring ethical and secure AI usage within enterprise environments
- Future steps: exploring advanced prompting tools and automation frameworks
Conclusion and Q&A
- Summary of key concepts covered
- Group reflection on best practices and insights gained
- Actionable takeaways for continued professional development
Requirements
- Proficiency with core IT concepts, system workflows, or technical documentation practices
- Practical experience utilizing AI tools (such as ChatGPT, Copilot, or comparable platforms) in daily operations
Target Audience
- IT consultants
- System administrators
- Technical project managers
- Designers of AI-enabled solutions
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
