Prompt Engineering: Basic Module

Prompt Engineering: Basic Module

Duration: Max 20 hours
Mode: Online/Hybrid

Course Description:
SkillBee’s Basic Prompt Engineering module introduces learners to the fundamental concepts of prompt engineering, designed to enable more effective interactions with AI models, such as GPT-4. This 10-15 hour course provides a hands-on exploration of AI prompt basics, including prompt types, response tuning, and understanding language model behavior. Participants will gain insight into the essential structures of prompt crafting, focusing on optimizing prompts for clearer, more accurate AI responses.

In this module, students will explore real-world applications, crafting prompts for tasks such as text summarization, content generation, and information retrieval. Additionally, learners will experiment with prompt variations and techniques for refining outputs, building confidence in their ability to communicate effectively with AI models. This course is ideal for students, professionals, and tech enthusiasts interested in enhancing their AI literacy and practical skills in prompt engineering.

Modules Overview:

Module 1: Introduction to AI and Prompt Engineering

• Understanding AI Language Models: How they work and applications
• What is Prompt Engineering?: Key concepts and the role of prompts
• Types of AI Outputs: Generative vs. extractive models

Module 2: Basic Types of Prompts

• Direct Prompts: Simple instructions to get clear outputs
• Descriptive Prompts: Enhancing clarity through detailed queries
• Interactive Prompts: Creating conversational engagement

Module 3: Prompt Structure and Composition

• Anatomy of a Prompt: Components and their functions
• Framing Prompts for Clarity: Using specific language to reduce ambiguity
• Common Prompt Pitfalls: How to avoid misunderstandings
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  Module 4: Fundamentals of Response Tuning
• Adjusting Tone and Style: Techniques for response customization
• Working with Temperature and Top-P: Basic parameter tuning
• Using Examples: Providing AI with context for desired outcomes
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  Module 5: Practical Applications of Basic Prompts
• Text Summarization: Crafting prompts for concise responses
• Content Generation: Simple prompts for blog posts, articles, and more
• Information Retrieval: Designing prompts for accurate answers
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  Module 6: Experimenting with Prompt Variations
• Refining Outputs: Techniques for rephrasing prompts
• Testing Prompt Lengths: When to use short vs. detailed prompts
• Iterative Prompting: Learning from responses to improve prompts
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  Module 7: Hands-On Exercises: Simple Prompt Engineering Scenarios
• Basic Use Cases: Practical scenarios to apply prompt techniques
• Feedback and Adjustment: Refining prompts based on output analysis
• Mini Project: Creating prompts for everyday tasks