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Course Outline
Module 1: Understanding Prompting in IT Contexts
- Defining prompting and its significance for IT professionals
- How AI models process context, instructions, and role definitions
- Key prompt components: intent, role, context, constraints, and format
- Common prompting pitfalls and strategies to avoid them
Module 2: Structured Prompting Techniques
- Leveraging frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Developing 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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Crafting 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
- Managing 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
7 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
