Prompt Engineering for Text-to-Image Generators: Mastering Visual AI Solutions with Models like Midjourney and DALL-E Training

This Prompt Engineering course teaches participants how to create powerful text-to-image generation applications using prompt engineering techniques. Students learn best practices for crafting and refining prompts and techniques for optimizing image generation outcomes. The course will also explore ethical considerations, potential biases, and content safety in text-to-image generation. 

Through hands-on exercises, case studies, and group discussions, participants will gain practical experience in prompt engineering for visual AI applications and develop the skills to create engaging, high-quality visual content across various domains.

Course Details


2 days


  • Basic understanding of AI and machine learning concepts
  • Familiarity with natural language processing (NLP) and computer vision techniques is recommended but not mandatory
  • Experience in at least one programming language (preferably Python)

Target Audience

  • Software developers
  • AI/ML engineers
  • Graphic designers
  • Professionals interested in leveraging text-to-image generation for creative and practical applications

Skills Gained

  • Understand the principles and applications of text-to-image generation using models like Midjourney and DALL-E
  • Design and refine prompts to create high-quality visual content tailored to specific objectives
  • Optimize image generation outcomes for creativity, novelty, and relevance
  • Address biases, ethical considerations, and content safety in text-to-image generation
  • Apply prompt engineering techniques to create visual AI solutions for various use cases and domains
Course Outline
  • Day 1
    • Module 1: Introduction to Text-to-Image Generation and Prompt Engineering
      • Overview of text-to-image generation and its applications
      • Role of prompt engineering in visual AI systems
      • Introduction to models like Midjourney, DALL-E, and other visual AI systems
    • Module 2: Designing Prompts for Text-to-Image Generation
      • Principles of prompt design for visual AI applications
      • Techniques for crafting effective prompts for image generation
      • Hands-on exercise: Creating prompts for various visual scenarios
    • Module 3: Refining and Testing Prompts for Image Generation
      • Iterative prompt refinement process for visual AI applications
      • Techniques for evaluating and optimizing image generation outcomes
      • Hands-on exercise: Refining and testing prompts for desired visual results
  • Day 2
    • Module 4: Addressing Biases and Ethical Considerations in Text-to-Image Generation
      • Identifying and mitigating biases in AI-generated visual content
      • Ethical considerations and content safety in text-to-image generation
      • Hands-on exercise: Analyzing and improving prompt designs for fairness and ethics
    • Module 5: Advanced Prompt Engineering Techniques for Visual AI Applications
      • Incorporating context and external knowledge in prompt design for visual AI systems
      • Techniques for combining text-to-image generation with other AI applications
      • Hands-on exercise: Developing advanced prompts for complex visual scenarios
    • Module 6: Capstone Project
      • Participants will apply the concepts and techniques learned throughout the course to create a custom text-to-image generation solution using advanced prompt engineering
      • Presentation and discussion of capstone projects
Throughout the course, participants will engage in hands-on exercises, case studies, and group discussions to reinforce learning and encourage collaboration among peers. The capstone project at the end of the course will provide an opportunity for participants to showcase their prompt engineering skills by developing a custom text -to-image generation solution for a real-world challenge or opportunity.

By focusing on the value and use cases of text-to-image generation with models like Midjourney and DALL-E, this course will enable participants to tap into the potential of visual AI technology for a variety of creative and practical applications. Participants will leave the course with a strong foundation in prompt engineering for visual AI systems and the expertise to develop engaging, high-quality visual content that meets their organization's objectives and enhances user experiences across various domains.