AI models can sometimes struggle to produce the desired outputs. This course tackles this issue, equipping you with prompt engineering skills to better control and optimize AI model performance. In this course, Prompt Engineering Best Practices, you’ll gain the ability to harness the power of well-structured prompts to optimize your AI model’s performance. First, you’ll explore the fundamentals of prompt engineering and different prompt design strategies, understanding their significance in AI. Next, you’ll discover various prompting methods, such as prompting by instruction and example, and learn how to control model output effectively using well-crafted prompts. Finally, you’ll learn how to reduce repetition in model outputs, a common issue in AI-generated content, and delve into the concept of multi-prompt learning, a powerful technique to boost your AI model’s performance. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to design effective prompts, optimize your AI model outputs, and significantly improve the performance of your AI applications.
Author Name: Mohamed Echout
Author Description:
Mo is a tech educator and solutions provider who has helped some of the biggest brands to make technology engaging and relevant. With a passion for breaking down complex concepts, he delivers training and AI solutions that drive real results. Making tech practical is his mission!

Table of Contents

• Course Overview
  1min
• Introduction to Prompt Engineering
  12mins
• Prompt Design Strategies
  17mins
• Prompting Methods
  17mins
• Controlling Model Output with Prompts
  12mins
• Reducing Repetition in Outputs
  11mins
• Designing Prompts for Different Tasks
  9mins
• Conclusion
  1min