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Course

Intermediate AI Prompt Engineering

Prompt engineering is the practice of designing AI inputs — the prompts — that reliably elicit accurate, relevant, and efficient results from large language models. This course explores various prompt-writing techniques that will help you get better, more accurate, and more relevant results from your AI queries.

Download a SCORM file, ready to upload to your LMS, or the editable Articulate Storyline file, allowing you to modify the course.

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Key Takeaways

✓   How prompt engineering improves AI reliability and efficiency.

✓   Ability to apply advanced prompting techniques to professional workflows.

✓   How to design multi-step prompt chains to decompose complex business problems.

✓   Recognizing and mitigating AI hallucinations using verification techniques.

✓   Building and maintaining a personal prompt library for recurring tasks.

Key Chapters

  • Why Prompt Engineering Matters
  • Model Selection
  • Model Variants
  • Chain-of-Thought Prompting
  • Few-Shot Prompting
  • Self-Consistency Techniques
  • Meta-Prompting
  • Prompt Chaining
  • Try It Yourself: Building a Workflow
  • Recognizing Hallucinations
  • Mitigating Hallucinations
  • Retrieval-Augmented Generation
  • Context Window Management
  • Iterative Improvement
  • Creating a Personal Prompt Library
  • Continuous Improvement: Resources
  • Continuous Improvement: Work Processes

Who Should Take This Course?

Anyone who has some familiarity using AI tools such as ChatGPT and wants to improve their prompting techniques.

Duration

50 minutes

Style

Self-paced e-Learning

Category

Technology

Accessibility Standard

Section 508

Skills

Artificial Intelligence

 

Course Screenshots

Course Pricing

Get instant access to your files.

Courses are free for existing Knowledge Anywhere customers-contact us.*

$175

SCORM

Download a SCORM file, ready for upload to your LMS.

$400

Articulate Storyline

Download an editable Articulate Storyline file, allowing you to modify the course.

*Restriction may apply.

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