Amazon Web Services
About the Class
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.
Learning Objectives:
- Identify the key components of prompt engineering and how it enhances generative AI performance.
- Recall 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.
This course was published on the 7th November 2024 and will be reviewed 7th November 2025.
As a participant you must complete the qualified assessment within one year of purchasing this course.
Participants will earn 0.2 x 5 = 1 CPE credits in the field of Information Technology.
Prerequisites: There are no prerequisites for this session.
Advanced Preparation: None
Program Level: Basic
Delivery Method: Nano Learning
Refunds and Cancellations: For more information regarding refund, concerns and program cancellation policies, please contact us at support@quitch.com.
Quitch is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
Your author of this Nano Learning is Aarthi Natarajan, Senior Technical Instructor at AWS.
