About Course

This course is designed to introduce students to the field of prompt engineering for AI text and image generation. Students will learn the principles and techniques used in designing effective prompts for AI models such as ChatGPT, DALL-E 2, and Midjourney.

The course will cover the basics of natural language processing (NLP) and computer vision (CV) and how they can be used in conjunction with prompt engineering to generate text and images that are coherent, creative, and expressive.

Students will be introduced to various types of prompts, including structured and unstructured prompts, and will learn how to use them effectively in generating text and images. They will also learn about different types of prompt programming, including dynamic and static programming.

The course will explore how prompt engineering can be used in real-world applications such as creative writing, marketing, and social media management. Students will also learn about ethical considerations in prompt engineering and how to design prompts that are unbiased and inclusive.

By the end of the course, students will have gained a solid understanding of prompt engineering for AI text and image generation and will have hands-on experience designing and implementing prompts for ChatGPT, DALL-E 2, and Midjourney.

Prerequisites:

• Basic knowledge of programming concepts and algorithms
• Familiarity with natural language processing and computer vision
• Experience with Python programming language

Course Outline:

1. Introduction to Prompt Engineering

• Overview of prompt engineering for AI text and image generation
• Importance of prompt engineering in AI models
• Types of prompts and prompt programming

2. NLP and CV Basics

• Fundamentals of natural language processing
• Basics of computer vision
• Applications of NLP and CV in AI text and image generation

3. Structured and Unstructured Prompts

• Structured prompts for AI text and image generation
• Unstructured prompts for AI text and image generation
• Advantages and disadvantages of structured and unstructured prompts

4. Dynamic and Static Programming

• Dynamic programming for prompt engineering
• Static programming for prompt engineering
• Examples of dynamic and static prompt programming

5. Applications of Prompt Engineering

• Creative writing with AI text generation
• Marketing with AI text and image generation
• Social media management with AI text and image generation

6. Ethics in Prompt Engineering

• Bias and fairness in AI text and image generation
• Inclusivity in AI text and image generation
• Ethical considerations in prompt engineering

7. Hands-On Experience with ChatGPT, DALL-E 2, and Midjourney

• Designing prompts for ChatGPT, DALL-E 2, and Midjourney
• Implementing prompts with Python programming language
• Evaluating results and improving prompts

8. Future of Prompt Engineering

• Trends and advancements in prompt engineering
• Applications of prompt engineering in the future
• Challenges and opportunities in prompt engineering

Assessment:

• Assignments and quizzes throughout the course
• Final project designing and implementing prompts for ChatGPT, DALL-E 2, or Midjourney