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Course Outline
Module 1: Understanding Prompting in IT Contexts
- Definition of prompting and its significance for IT work
- How artificial intelligence (AI) models process context, instructions, and role definitions
- Key components of prompts: intent, role, context, constraints, and format
- Common pitfalls in prompting and strategies to avoid them
Module 2: Structured Prompting Techniques
- Utilizing frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Developing reusable prompt templates for routine IT tasks
- Crafting system-level and task-specific prompts
Module 3: IT Use Cases and Hands-On Practice
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Writing and refining prompts for:
- System troubleshooting and diagnostics
- Configuration and deployment documentation
- Code review and script generation
- Client communication and knowledge base updates
- Iterative processes for prompt validation to ensure accuracy and consistency
Module 4: Integrating Prompting into IT Workflows
- Incorporating AI prompting in IT service management and consulting for government
- Managing prompt libraries, version control, and documentation
- Ethical considerations and secure implementation of AI in enterprise environments
- Future steps: exploring advanced prompting tools and automation frameworks for government
Conclusion and Q&A
- Summary of key concepts covered
- Group discussion on best practices and lessons learned
- Practical recommendations for ongoing skill enhancement
Requirements
- Proficiency with IT concepts, system workflows, or technical documentation for government operations
- Experience utilizing AI tools (e.g., ChatGPT, Copilot, or similar) in daily professional tasks
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)