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Duration 7 hours
Course Outline
Module 1: Grasping Prompting within IT Contexts
- The definition of prompting and its significance in IT roles
- How 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 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 repetitive IT duties
- Formulating system-level and task-specific prompts
Module 3: IT Applications and Practical Exercises
- Drafting and refining prompts for:
- System diagnostics and troubleshooting
- Documentation for configuration and deployment
- Script generation and code review
- Client communication and updating knowledge bases
- Iterating and validating prompts: guaranteeing precision and uniformity
Module 4: Embedding Prompting into IT Processes
- Incorporating AI prompting into IT service management and consulting practices
- Managing prompt libraries, version control, and documentation
- Ethical and secure utilization of AI in enterprise settings
- Future directions: delving into advanced prompting tools and automation frameworks
Wrap-Up and Q&A
- Summary of core concepts
- Collective reflection on best practices and key insights
- Actionable steps for ongoing professional development
Requirements
- Working knowledge of IT concepts, system workflows, or technical documentation
- Practical experience utilizing AI tools (such as ChatGPT, Copilot, or equivalents) in day-to-day operations
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
