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Duration 7 hours
Course Outline
Module 1: Grasping Prompting Within IT Environments
- The definition of prompting and its significance for IT functions.
- Mechanisms by which AI models handle context, directives, and role specifications.
- Key elements of a prompt: intent, role, context, constraints, and output format.
- Frequent prompting errors and strategies to mitigate them.
Module 2: Methodical Prompting Approaches
- Application of frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting.
- Construction of reusable prompt templates for repetitive IT duties.
- Design of system-level versus task-specific prompts.
Module 3: IT Applications and Practical Exercises
- Drafting and refining prompts for:
- System diagnostics and fault finding
- Configuration guides and deployment documentation
- Code analysis and script creation
- Client liaison and knowledge base maintenance
- Prompt iteration and verification: ensuring precision and consistency.
Module 4: Embedding Prompting into IT Processes
- Integrating AI prompting into IT service management and consultancy practices.
- Managing prompt libraries, version control, and documentation.
- Ethical and secure AI deployment in corporate settings.
- Future pathways: investigating advanced prompting tools and automation frameworks.
Wrap-up and Q&A
- Summary of core concepts.
- Collaborative review of best practices and key insights.
- Actionable points for ongoing skill enhancement.
Requirements
- Working knowledge of IT principles, system processes, or technical documentation.
- Practical experience utilising AI tools (such as ChatGPT, Copilot, or comparable platforms) in day-to-day operations.
Target Audience
- IT Consultants
- System Administrators
- Technical Project Managers
- AI-Integrated 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
