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Davidson College via edX

Prompt Engineering for ChatGPT

4.360 ratings at edX

Overview

Unlock the Future of Work with AI. Learn how to communicate effectively with ChatGPT and harness its full potential to transform your workflow. Whether you're creating content, analyzing data, or brainstorming innovative ideas, this course equips you with essential skills to master prompt engineering, enabling you to achieve faster, smarter, and more creative outcomes. Empower your career and embrace the AI revolution—start today.

What you'll learn

  • Master prompt engineering techniques to optimize ChatGPT's performance
  • Leverage ChatGPT for creative content generation, data-driven decision-making, and knowledge synthesis
  • Overcome common AI challenges, including bias, inaccuracies, and data limitations
  • Use ChatGPT as a thought partner to brainstorm, plan, and innovate effectively
  • Write precise and effective prompts tailored for different use cases
  • Apply advanced techniques like Chain of Thought, Role Prompting, and Knowledge Integration
  • Enhance strategic planning and problem-solving capabilities

Syllabus 19

  1. Week 1: Introduction to ChatGPT
  2. Generative AI fundamentals and use cases
  3. Overview of ChatGPT's strengths, limitations, and ethical considerations
  4. Basics of effective prompting
  5. Week 2: Content Creation
  6. How to craft prompts for blogs, emails, and social media
  7. Specifying context, format, style, tone, and audience
  8. Week 3: Decision-Making with Data
  9. Techniques for analyzing and summarizing data
  10. Chain of Thought and Program Simulation prompting
  11. Applying placeholders and temperature controls to fine-tune outputs
  12. Week 4: Synthesizing Information
  13. Knowledge generation and integration
  14. Reverse prompt engineering and iterative refinement
  15. Combining multiple data sources for actionable insights
  16. Week 5: ChatGPT as a Thought Partner
  17. Role prompting and all-in-one prompts
  18. Using AI for brainstorming, strategic planning, and innovation
  19. Best practices for sustainable AI collaboration

Skills you'll practise

CommunicationInnovationData AnalysisReference CardsContent CreationWorkflow ManagementDecision MakingCuriosityArtificial IntelligenceGenerative Artificial IntelligencePrompt EngineeringChatGPT

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • Self-paced: start any time.
  • A clear syllabus (19 parts) you can see before you start.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $89). Audit access may end after the course closes.

Taught by

  • Sarah CornettFounder and CEO of SC Innovate

Davidson College is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (70/100).

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