What You Need to Know Before
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Starts 5 July 2025 02:55

Ends 5 July 2025

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Getting Started on Prompt Engineering with Generative AI

Embark on a journey to master the art of prompt engineering with our specialized course offered by Pluralsight. Gain insights into creating impactful prompts for AI systems and understand the essentials of few-shot prompting. Expand your ability to assess and refine AI responses for optimal outcomes. This course is a must for anyone looki.
via Pluralsight

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49 minutes

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Overview

AI responses can be hit or miss. Sometimes they’re helpful, sometimes vague, and sometimes completely off.

The key to getting better results is writing better prompts. In this course, Getting Started on Prompt Engineering with Generative AI, you’ll learn to craft clear, structured prompts that guide AI to give you high-quality, relevant responses.

First, you’ll explore how AI processes language and why prompts matter. Next, you’ll discover how to structure and refine prompts for different tasks, using techniques like few-shot and chain-of-thought prompting.

Finally, you’ll learn how to evaluate AI responses for accuracy, coherence, and bias, and how to tweak prompts to improve them. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to use AI effectively for content creation, automation, problem-solving, and more.

Syllabus

  • Introduction to Prompt Engineering
  • Definition and Importance of Prompt Engineering
    Overview of Generative AI and Language Processing
  • Understanding How AI Processes Language
  • Language Models and Their Architecture
    The Role of Prompts in AI Responses
    Common Challenges in AI-Prompt Interactions
  • Crafting Effective Prompts
  • Components of a Clear and Structured Prompt
    Common Prompting Techniques
    Avoiding Ambiguity and Vagueness
  • Techniques for Advanced Prompting
  • Few-shot Prompting
    Chain-of-thought Prompting
    Task-specific Prompt Structuring
  • Evaluating AI Responses
  • Criteria for Evaluating Accuracy and Coherence
    Identifying and Addressing AI Bias
    Iterating and Refining Prompts for Better Outcomes
  • Practical Applications of Prompt Engineering
  • Content Creation
    Automation and Workflow Enhancement
    Problem-solving with AI
  • Final Project
  • Designing and Testing Prompts for a Specific Use-case
    Analyzing and Presenting Results
  • Conclusion and Next Steps
  • Recap of Key Learning Points
    Further Resources and Learning Opportunities

Taught by

Amber Israelsen


Subjects

Computer Science