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Duration 7 hours
Course Outline
Module 1: Grasping Prompting in IT Settings
- Defining prompting and its significance for IT roles
- How AI models handle context, instructions, and role assignments
- Key prompt elements: intent, role, context, constraints, and output format
- Identifying common prompting errors and strategies to prevent them
Module 2: Methodical Prompting Approaches
- Utilizing frameworks: Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Building reusable prompt templates for repetitive IT duties
- Designing prompts for both system-level and specific tasks
Module 3: IT Applications and Practical Exercises
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Drafting and refining prompts for:
- System diagnostics and troubleshooting
- Documentation for configuration and deployment
- Code analysis and script creation
- Client interactions and knowledge base maintenance
- Prompt iteration and verification: maintaining accuracy and consistency
Module 4: Embedding Prompting in IT Processes
- Incorporating AI prompting into IT service management and consulting
- Managing prompt libraries, version control, and documentation
- Ensuring ethical and secure AI application in enterprise settings
- Future outlook: Investigating sophisticated prompting tools and automation frameworks
Wrap-up and Q&A
- Summary of core concepts
- Group discussion on best practices and key learnings
- Actionable insights for ongoing skill improvement
Requirements
- Knowledge of IT fundamentals, system processes, or technical documentation
- Prior experience utilizing AI tools (such as ChatGPT, Copilot, or comparable platforms) in professional settings
Target Audience
- IT consultants
- System administrators
- Technical project managers
- Solution architects focusing on AI integration
Testimonials (2)
use of proper and effective prompt
Marses Pacaldo
Course - Generative AI and Prompt Engineering for Corporate Professionals
The interactive style, the exercises
