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Duration 7 hours
Course Outline
Module 1: Prompting Fundamentals in IT Settings
- Defining prompting and its significance in IT operations.
- How AI engines handle context, directives, and persona definitions.
- Key prompt elements: purpose, role, background, limitations, and output structure.
- Typical prompting errors and strategies for prevention.
Module 2: Techniques for Structured Prompting
- Applying frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting.
- Building reusable prompt templates for recurring IT duties.
- Developing both system-wide and task-specific prompts.
Module 3: IT Applications and Practical Workshops
- Drafting and refining prompts for specific areas:
- System diagnostics and troubleshooting.
- Documentation for configuration and deployment.
- Script generation and code review.
- Client engagement and knowledge base maintenance.
- Iterating and validating prompts to guarantee precision and consistency.
Module 4: Integrating Prompting into IT Processes
- Incorporating AI prompting into IT service management and consulting practices.
- Managing prompt libraries, version control, and documentation.
- Ethical and secure AI implementation in corporate settings.
- Future directions: exploring advanced prompting utilities and automation frameworks.
Summary and Q&A
- Review of core concepts.
- Collective reflection on best practices and key learnings.
- Actionable insights for ongoing skill progression.
Requirements
- Working knowledge of IT fundamentals, system processes, or technical documentation.
- Practical experience utilizing AI tools (such as ChatGPT, Copilot, or alternatives) in everyday professional tasks.
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
