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Duration 7 hours
Course Outline
Module 1: Prompting within IT Contexts
- Defining prompting and its significance in IT operations.
- Exploring how AI models handle context, instructions, and role assignments.
- Key prompt elements: intent, role, context, constraints, and formatting.
- Identifying common prompting errors and strategies to prevent them.
Module 2: Techniques for Structured Prompting
- Applying frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting.
- Building reusable prompt templates for routine IT tasks.
- Crafting system-level and task-specific prompts.
Module 3: IT Applications and Practical Exercises
- Composing and refining prompts for specific areas:
- System troubleshooting and diagnostics.
- Configuration and deployment documentation.
- Code review and script creation.
- Client communication and knowledge base maintenance.
- Iterating and validating prompts to guarantee accuracy and consistency.
Module 4: Embedding Prompting in IT Workflows
- Integrating AI prompting into IT service management and consulting practices.
- Managing prompt libraries, version control, and documentation.
- Ensuring ethical and secure AI utilization in enterprise settings.
- Future steps: investigating advanced prompting tools and automation frameworks.
Conclusion and Q&A
- Summary of core concepts.
- Group discussion on best practices and key insights gained.
- Actionable steps for ongoing professional development.
Requirements
- A solid understanding of IT concepts, system workflows, or technical documentation.
- Practical experience using AI tools such as ChatGPT, Copilot, or similar platforms in daily work.
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
