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Duration 7 hours
Course Outline
Module 1: Grasping Prompting in IT Environments
- The definition of prompting and its significance in IT operations
- Mechanisms for AI models to handle context, instructions, and role assignments
- Core prompt elements: objective, persona, context, limitations, and output structure
- Identifying frequent prompting errors and strategies for prevention
Module 2: Techniques for Structured Prompting
- Applying frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Building reusable prompt templates for recurring IT duties
- Crafting both system-wide and task-specific prompts
Module 3: IT Applications and Practical Exercises
- Developing and enhancing prompts for:
- System diagnostics and troubleshooting
- Documentation for configuration and deployment
- Code analysis and script creation
- Client interactions and knowledge base maintenance
- Iterative prompt testing and validation: guaranteeing precision and uniformity
Module 4: Embedding Prompting into IT Workflows
- Integrating AI prompting into IT service management and consulting practices
- Managing prompt libraries, version control, and documentation
- Ethical and secure application of AI within enterprise settings
- Future pathways: investigating advanced prompting tools and automation frameworks
Summary and Q&A
- Review of fundamental concepts
- Group reflection on optimal practices and key insights
- Actionable insights for ongoing professional development
Requirements
- Proficiency in IT fundamentals, system processes, or technical documentation standards
- Practical experience utilizing AI platforms (such as ChatGPT, Copilot, or equivalents) in professional settings
Target Audience
- IT Consultants
- System Administrators
- Technical Project Managers
- Designers of AI-integrated 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