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Duration 7 hours
Course Outline
Module 1: Prompting Principles in IT Environments
- The definition of prompting and its critical role in IT operations.
- How AI systems handle context, instructions, and role assignments.
- Core elements of a prompt: intent, role, context, constraints, and output format.
- Identifying frequent errors and strategies to prevent them.
Module 2: Advanced Structured Prompting
- Applying frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot techniques.
- Developing reusable templates for standard IT tasks.
- Crafting prompts for both system-wide operations and specific tasks.
Module 3: Practical IT Applications and Exercises
- Developing and refining prompts for:
- System diagnostics and troubleshooting.
- Documentation for configuration and deployment.
- Code analysis and script creation.
- Client interactions and maintaining knowledge bases.
- Validating and iterating on prompts to guarantee precision and consistency.
Module 4: Embedding Prompting into IT Operations
- Incorporating AI prompting into IT service management and consulting practices.
- Managing prompt libraries, version control, and documentation standards.
- Navigating ethical and security considerations for AI in enterprise settings.
- Looking ahead: exploring sophisticated tools and automation frameworks.
Summary and Discussion
- Review of core concepts.
- Collective analysis of best practices and key takeaways.
- Actionable insights for ongoing professional development.
Requirements
- Foundational knowledge of IT concepts, system processes, or technical documentation.
- Practical experience utilizing AI tools (such as ChatGPT, Copilot, or similar) in everyday tasks.
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
