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Course Outline
Module 1: Understanding Prompting in IT Contexts
- The definition of prompting and its significance within IT operations
- How AI models process context, instructions, and role definitions
- Key components of a prompt: intent, role, context, constraints, and output format
- Identifying common prompting errors and strategies to prevent them
Module 2: Structured Prompting Techniques
- Leveraging frameworks such as Role–Task–Format, Chain-of-Thought, and Few-Shot prompting
- Building reusable prompt templates for recurring IT responsibilities
- Crafting system-level prompts and task-specific directives
Module 3: IT Use Cases and Hands-On Practice
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Writing and refining prompts for specific scenarios, including:
- System troubleshooting and diagnostic processes
- Documentation for configuration and deployment
- Code review and script generation
- Client communication and updating knowledge bases
- Iterating on and validating prompts to ensure accuracy and consistency
Module 4: Integrating Prompting into IT Workflows
- Embedding AI prompting capabilities into IT service management and consulting practices
- Managing prompt libraries, version control, and documentation
- Ethical and secure application of AI in enterprise settings
- Future directions: exploring advanced prompting tools and automation frameworks
Conclusion and Q&A
- Review of core concepts
- Group discussion on best practices and key insights
- Actionable takeaways for ongoing skill development
Requirements
- Knowledge of IT concepts, system workflows, or technical documentation
- Experience utilizing AI tools (such as ChatGPT, Copilot, or similar platforms) in daily work
Target Audience
- IT Consultants
- System Administrators
- Technical Project Managers
- AI-enabled Solution Designers
7 Hours
Testimonials (2)
use of proper and effective prompt
Marses Pacaldo
Course - Generative AI and Prompt Engineering for Corporate Professionals
The interactive style, the exercises
