Course Outline
Module 1: Understanding Prompting in IT Contexts
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        What is prompting and why it matters for IT work 
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        How AI models process context, instructions, and role definitions 
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        Prompt components: intent, role, context, constraints, and format 
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        Common prompting mistakes and how to avoid them 
Module 2: Structured Prompting Techniques
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        Using frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting 
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        Creating reusable prompt templates for recurring IT tasks 
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        Designing system-level and task-specific prompts 
Module 3: IT Use Cases and Hands-On Practice
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        Writing and optimizing prompts for: - 
                System troubleshooting and diagnostics 
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                Configuration and deployment documentation 
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                Code review and script generation 
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                Client communication and knowledge base updates 
 
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        Prompt iteration and validation: ensuring accuracy and consistency 
Module 4: Integrating Prompting into IT Workflows
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        Embedding AI prompting in IT service management and consulting 
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        Prompt libraries, versioning, and documentation 
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        Ethical and secure AI usage in enterprise environments 
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        Next steps: exploring advanced prompting tools and automation frameworks 
Conclusion and Q&A
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        Recap of key concepts 
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        Group reflection on best practices and lessons learned 
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        Practical takeaways for continued skill development 
Requirements
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        Familiarity with IT concepts, system workflows, or technical documentation 
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        Experience using AI tools (e.g., ChatGPT, Copilot, or similar) in daily work 
Audience
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        IT consultants 
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        System administrators 
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        Technical project managers 
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        AI-enabled solution designers 
Testimonials (1)
Very well adjusted
