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