In this Prompt Engineering nano-learning session by Amazon Web Services (AWS), learn how to craft precise prompts to optimize AI performance and improve user interaction.
Course ID: PEFP
Prompt Engineering For Professionals
Learning Objectives
Upon completion of this course participants will be able to:
- Identify the key components of prompt engineering and how it enhances generative AI performance
- Recognize the structure of effective prompts, including task instructions, context, and output indicators
- Differentiate between generic and specific prompts, and apply techniques like zero-shot and few-shot prompting for desired outcomes
- Apply the best practices for refining prompts to optimize user interaction and AI response accuracy
Major Topics
- Introduction to Prompt Engineering with an overview of generative AI and foundation models.
- Importance of Prompt Engineering and the role prompt engineers play in optimizing AI applications.
- Effective Prompt Engineering techniques such as Zero-shot prompting, Few-shot prompting, Chain-of-thought prompting and Least-to-most prompting.
- The best practices for prompt engineering involve crafting clear prompts, providing context, using directives, balancing information with output, and emphasizing experimentation.
Advanced Preparations
None
Who Should Attend
Professionals seeking to leverage Generative AI to improve productivity and interact effectively with AI models.
Fields of Study
Information TechnologyPrerequisites
None