Enterprise AI Prompt Engineering Training

Learn via : Virtual Classroom / Online
Duration : 1 Day
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Eğitim Açıklaması

    1-Day Training Program Focused on Enterprise Use

    The objective of this training is to equip participants with systematic and structured prompt writing skills, enabling them to generate consistent, reliable, and business-aligned outputs from generative AI systems.

    By the end of the training, participants will be able to effectively apply structured prompting techniques, produce verifiable and repeatable outputs in enterprise scenarios, and develop standardized prompt templates that can be used across teams.

    The training is designed with a strong hands-on approach. At the end of the program, participants will design a prompt template tailored to their own business domain and solve the same problem using both free-form and structured prompting approaches. The outputs will be compared in terms of quality, accuracy, and consistency.

    Training Outcomes

    • Standardized prompt writing approach
    • Enterprise-ready prompt template framework
    • Improved consistency in AI-generated outputs
    • Reduced risk of hallucinations
    • Increased awareness of enterprise AI usage

Eğitim İçeriği Nedir?

1. Understanding LLMs
• High-level working principles of LLMs
• Concepts of token, context window and temperature
• Deterministic and creative output differences
• Hallucination concept and its causes
• How prompts guide model behavior

2. Prompt Engineering Fundamentals
• Role definition (Role)
• Goal definition (Goal)
• Context (Context)
• Constraints (Constraints)
• Defining output formats
• Few-shot and example-based techniques
• Plan-first and step-by-step prompting

3. Enterprise Best Practices
• Creating prompt templates
• Reusable prompt library approach
• Prompt versioning
• Output validation techniques
• Token efficiency and context management
• Enforcing output formats
• Enterprise data security principles

4. Prompt Design by Business Function
• Software development scenarios
• Business analysis and document summarization
• Risk analysis and decision-support outputs
• Prompt design for management and strategy use cases

5. Risks and Secure Usage
• Hallucination mitigation techniques
• Validation of AI-generated outputs
• Sensitive data usage and regulations
• Enterprise AI governance framework

End-of-Day Hands-on Exercise