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Duration 7 hours
Course Outline
Module 1: Grasping Prompting Within IT Frameworks
- The essence of prompting and its significance in IT operations
- The way AI engines handle context, directives, and role assignments
- Key prompt elements: objective, role, context, limitations, and structure
- Frequent prompting errors and strategies to mitigate them
Module 2: Advanced Structured Prompting Methods
- Applying frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Constructing reusable prompt templates for recurring IT activities
- Crafting system-wide versus task-specific prompts
Module 3: IT Applications and Practical Exercises
- Formulating and refining prompts for:
- System diagnostics and issue isolation
- Configuration and rollout documentation
- Code analysis and script creation
- Client interactions and knowledge base maintenance
- Prompt iteration and verification: Ensuring precision and uniformity
Module 4: Embedding Prompting into IT Processes
- Integrating AI prompting into IT service management and consultancy
- Prompt repositories, version control, and documentation standards
- Ethical and secure AI deployment in corporate settings
- Future directions: Investigating advanced prompting utilities and automation structures
Summary and Q&A
- Review of core principles
- Collective analysis of best practices and key learnings
- Actionable insights for ongoing skill enhancement
Requirements
- Proficiency in IT principles, system workflows, or technical documentation.
- Practical experience utilizing AI utilities (such as ChatGPT, Copilot, or comparable platforms) in professional settings.
Target Audience
- IT Consultants
- System Administrators
- Technical Project Managers
- AI Solution Architects
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
