Generative AI is only as good as the prompts you feed it. This course strips away the guesswork and gives you a practical, structured approach to getting consistently sharp results from AI tools. Walk away with a practical toolkit for crafting clearer, more context-rich prompts and best practices that turn vague AI output into precise, reliable results.
Course ID: PES
Prompt Engineering Simplified
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
- Distinguish between generic and specific prompts, and apply techniques like zero-shot and few-shot prompting for desired outcomes
- Recall 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.
Who Should Attend
Professionals who use generative AI tools in their day-to-day work and want to get sharper, more reliable results from them, no coding background or prior AI expertise required.
Fields of Study
Information TechnologyPrerequisites
None