Exploring Text and Image Prompts, Midjourney Techniques, and Error Handling in AI
Description
This course, “Mastering Prompt Engineering: Text & Image AI Innovations,” offers a comprehensive exploration of prompt engineering, a critical skill in the evolving landscape of artificial intelligence (AI). Aimed at educators, developers, and technology enthusiasts, this curriculum bridges the gap between theoretical knowledge and practical application in the field of AI.
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Beginning with a foundational understanding, Lecture 1 delves into the essentials of prompts, their key features, and real-world examples, setting the stage for more advanced topics. Lecture 2 shifts the focus to text prompts, dissecting their structure and utility specifically for developers. This segment is crucial for understanding how language models like ChatGPT interpret and respond to textual inputs.
The course then progresses to image prompts in Lecture 3, offering a deep dive into the intricate world of visual AI. Here, participants will explore Midjourney prompts, a term encompassing the journey from prompt creation to image generation. This lecture also covers custom preferences, various parameters such as aspect ratio, chaos, seeds, style, and normalization, which are pivotal in tailoring image prompts to specific needs.
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Lecture 5 addresses a critical aspect of AI interaction: error handling. Participants will learn strategies to craft prompts that effectively manage errors, a skill particularly beneficial for student instruction and troubleshooting.
The course culminates in a hands-on project, where participants will apply their knowledge to create a website using ChatGPT and Midjourney. This two-part project not only reinforces learning but also demonstrates practical applications of prompt engineering in website development.
“Mastering Prompt Engineering: Text & Image AI Innovations” is designed to equip participants with the skills to navigate and utilize prompt engineering effectively, making it an indispensable resource for those seeking to integrate emerging technology into teaching and development in higher education.
| Total Students | 37138 |
|---|---|
| Duration | 2.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 19 |
| Number of quizzes | 0 |
| Total Reviews | 206 |
| Global Rating | 3.89 |
| Instructor Name | Skool of AI |
Course Insights (for Students)
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Student Satisfaction
78% positive recent sentiment
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Time & Value
- Est. time: 2.5 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Examples
Course Review Summary
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What learners praise
- Hands On
- Examples
- Comprehensive
- Real World
- Well Structured
Watch-outs
- Subtitles
- Error
- Too fast
Difficulty
Best suited for
New learners starting from zero
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