AI Prompt Engineering For Beginners

AI Prompt Engineering Mastery :
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Course Duration : 2 Months (16 Classes)
Class Duration : 50 Minute Online Class
Class Timiings : 2 Days in Week evening (Sat, Sun).

Discounted Fee for Saudi Students: $550 (SAR 2100)
(Advance 50%, Remaining in 3 Installments)
Payment Method : By Bank Transfer.

Certificate will be provided on completion of course (sample certificate is attached).

Thanks
WhatsApp +923175484879
Email : [email protected]
https://www.kftechsols.com/ ...


Introduction
• What is AI?
• Importance of Prompt Engineering
• Real-World Examples (Chatbots, Healthcare, Education, Marketing)
• Course Objectives & Structure

Chapter 1: Basics of AI and NLP
Introduction to AI • Key Concepts • Understanding NLP • How AI Interprets Prompts • Exercises

Chapter 2: Understanding Prompt Engineering
What is Prompt Engineering? • Why It Matters • Types of AI Models • Key Elements of Effective Prompts • Common Challenges • Exercises

Chapter 3: Crafting Effective Prompts
Elements of a Good Prompt • Basic Structures (Direct, Question, Contextual, Fill-in-the-Blank) • Advanced Techniques • Examples • Refining Prompts • Exercises

Chapter 4: Advanced Prompt Engineering Techniques
Contextual & Iterative Prompting • Chain of Thought • Role-Based • Scenario-Based • Multi-Turn • Conditional • Prompt Chaining • Case Studies • Exercises

Chapter 5: Practical Applications
Business & Marketing • Customer Support • Education & Training • Content Creation • Creative Industries • Healthcare • Technology & Code • Legal & Compliance • Exercises

Chapter 6: Common Pitfalls and Troubleshooting
Ambiguity • Over-Complexity • Lack of Context • Bias • Over-Specification • Iterative Testing • Prompt Chaining • Case Studies • Exercises

Chapter 7: Prompts for Creative Media
Image Generation (Simple, Detailed, Stylistic) • Music Generation • Video Generation • Scriptwriting • Character & Plot Development • Case Studies • Exercises

Chapter 8: Ethical Considerations
Types of Bias (Data, Algorithmic, Selection, Confirmation) • Identifying & Reducing Bias • Cultural Assumptions • Inclusive Prompts • Ethical Scenarios • Exercises
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