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Duration 7 hours
Course Outline
Module 1: Grasping Prompting within IT Environments
- The definition of prompting and its significance in IT operations
- The way AI models handle context, directives, and role specifications
- Key elements of a prompt: objective, role, context, limitations, and output structure
- Frequent prompting errors and strategies for prevention
Module 2: Methodical Prompting Strategies
- Utilizing frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Building reusable prompt templates for repetitive IT duties
- Architecting system-wide and task-oriented prompts
Module 3: IT Applications and Practical Sessions
- Constructing and refining prompts for specific areas:
- System fault diagnosis and analysis
- Documentation for configuration and deployment
- Code analysis and script creation
- Client correspondence and knowledge base maintenance
- Iterative prompt testing and verification: Guaranteeing precision and uniformity
Module 4: Embedding Prompting into IT Processes
- Integrating AI prompting into IT service management and consulting practices
- Managing prompt libraries, version control, and documentation
- Adhering to ethical and secure AI protocols in corporate settings
- Future pathways: Investigating advanced prompting tools and automation frameworks
Summary and Interactive Q&A
- Overview of core concepts
- Collaborative review of optimal practices and insights gained
- Actionable insights for ongoing skill enhancement
Requirements
- Knowledge of IT principles, system processes, or technical writing
- Practical experience with AI assistants (such as ChatGPT, Copilot, or comparable tools) in everyday tasks
Target Participants
- IT Consultants
- System Administrators
- Technical Project Managers
- Solution Architects specializing in AI integration
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
