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Duration 7 hours
Course Outline
Module 1: The Role of Prompting in IT
- The significance of prompting in technical environments
- How AI models interpret context, directives, and role specifications
- Key prompt elements: intent, role, context, constraints, and output format
- Identifying and mitigating common prompting errors
Module 2: Advanced Structuring Techniques
- Applying frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Developing reusable templates for routine IT operations
- Crafting prompts for both system-wide and task-specific applications
Module 3: Practical IT Applications
- Crafting and refining prompts for:
- System diagnostics and troubleshooting
- Documentation for configuration and deployment
- Code analysis and script creation
- Client interactions and knowledge base maintenance
- Iterative prompt validation to ensure precision and consistency
Module 4: Workflow Integration
- Incorporating AI prompting into IT service management and consulting practices
- Managing prompt libraries, version control, and documentation
- Navigating ethical and secure AI usage within enterprise settings
- Exploring advanced tools and automation frameworks for future development
Wrap-Up and Discussion
- Summary of core principles
- Collaborative reflection on best practices and key insights
- Actionable strategies for ongoing professional growth
Requirements
- Basic understanding of IT concepts, system processes, or technical documentation
- Practical experience with AI tools such as ChatGPT, Copilot, or comparable platforms
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