Learn how to implement the Prompt Techniques, a key technique in Prompt Engineering that ensures your AI delivers accurate and consistent responses. 🧠 In this Free Course, Asif Ali Shoukat reveals how this pattern works to refine prompts, helping you verify and enhance AI-generated content for better results with Large Language Models (LLMs) like ChatGPT.

Course Outline: Prompt Engineering for Everyone

Module 1: Introduction to Prompt Engineering

• What is Prompt?
• What is Prompt Engineering?
• Key Aspects of Prompt Engineering
• Elements of a Prompt

Module 2: Basic Principles of Prompt Engineering

• What is LLMs?
• Use cases and Examples of LLMs

Module 3: Techniques of Prompt Engineering

• Zero-Shot Learning
• One-Shot Learning
• Few-Shot Learning
• Chain-of-Thought Prompting
• Iterative Prompting
• Negative Prompting
• Hybrid Prompting
• Prompt Chaining

Module 4: Basic Patterns for Prompt Engineering

• Game Play Pattern
• Template Pattern
• Meta Language Creation Pattern
• Recipe Pattern
• Alternative Approaches Pattern

Module 5: Advanced Patterns for Prompt Engineering

• Ask for Input Pattern
• Combining Patterns
• Outline Expansion Pattern
• Menu Actions Pattern
• Fact Check List Pattern
• Tail Generation Pattern
• Semantic Filter Pattern

How this patterns works in content creation, coding, and business automation 🌐

Practical tips for building smarter prompts that ensure high-quality outputs 🚀

💡 Ready to master more Prompt Engineering techniques? This video is part of a detailed course that teaches you how to create perfect AI interactions. 📚

👉 Don’t Buy this full course is Free and now available at Fixgure.com to unlock advanced patterns and start improving your AI prompts today! 💥

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