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Duration 7 hours
Course Outline
Module 1: Contextualizing Prompting within IT
- The definition of prompting and its significance in IT roles
- How AI engines interpret context, directives, and persona settings
- Core elements: intent, role definition, contextual cues, constraints, and output structure
- Identifying frequent errors and strategies for prevention
Module 2: Methodologies for Structured Prompts
- Applying frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot learning
- Building template prompts for recurring IT activities
- Crafting prompts for both system-wide and specific task-level needs
Module 3: Practical IT Scenarios and Application
- Formulating and enhancing prompts for:
- Diagnostic troubleshooting and system analysis
- Documentation of configuration and deployment procedures
- Code inspection and script creation
- Client interactions and knowledge base maintenance
- Validating and refining prompts to guarantee precision and uniformity
Module 4: Workflow Integration for IT
- Incorporating AI prompting into IT service management and consulting practices
- Managing prompt repositories, version control, and documentation
- Ensuring ethical and secure AI adoption in corporate settings
- Future outlook: leveraging advanced prompting utilities and automation structures
Wrap-Up and Interaction
- Summary of fundamental principles
- Collective analysis of optimal practices and insights gained
- Key actions for ongoing professional growth
Requirements
- Working knowledge of IT principles, operational workflows, or technical documentation standards.
- Practical experience utilizing AI assistants (such as ChatGPT, Copilot, or comparable tools) 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