When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
This 2-day course will teach participants how to create powerful text-to-image generation applications using prompt engineering techniques with models like Midjourney, DALL-E, and other...Read More
This 2-day course will teach participants how to create powerful text-to-image generation applications using prompt engineering techniques with models like Midjourney, DALL-E, and other state-of-the-art visual AI systems. Participants will learn the principles of prompt design for visual AI applications, 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 the context of 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.
Software developers, AI/ML engineers, graphic designers, and professionals interested in leveraging text-to-image generation for creative and practical applications
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.
Module 1: Introduction to Text-to-Image Generation and Prompt Engineering
Module 2: Designing Prompts for Text-to-Image Generation
Module 3: Refining and Testing Prompts for Image Generation
Module 4: Addressing Biases and Ethical Considerations in Text-to-Image Generation
Module 5: Advanced Prompt Engineering Techniques for Visual AI Applications
Module 6: Capstone Project