ChatGPT Crash Course: Introduction to ChatGPT for Work Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview (80-120 words) describing structure and time commitment.

Module 1: Introduction to Prompt Engineering

Estimated time: 0.5 hours

  • What prompt engineering is and how it enhances AI outputs
  • Overview of ChatGPT and how it processes text inputs
  • Understanding the role of prompts in guiding AI responses
  • Setting expectations for practical applications in work settings

Module 2: Prompt Types and Patterns

Estimated time: 0.75 hours

  • Introduction to zero-shot prompting with practical examples
  • One-shot and few-shot prompting techniques
  • Comparing effectiveness across prompt types
  • Best practices for designing clear and effective instructions

Module 3: Prompt Techniques in Practice

Estimated time: 1 hour

  • Applying chain-of-thought prompting for logical reasoning
  • Using role-based prompting for tailored outputs
  • Refining prompts to improve consistency and clarity

Module 4: ChatGPT Use Cases

Estimated time: 1 hour

  • Applying ChatGPT in education, marketing, and business tasks
  • Generating content, summaries, and ideas efficiently
  • Building reusable prompt workflows for daily productivity

Module 5: Ethical Considerations and Limitations

Estimated time: 0.5 hours

  • Understanding AI hallucinations and how to identify them
  • Recognizing and mitigating bias in AI outputs
  • Strategies for responsible AI use and verifying output accuracy

Module 6: Final Project

Estimated time: 1 hour

  • Design a set of prompts for a real-world work task
  • Apply techniques from the course to refine and test outputs
  • Submit a short reflection on effectiveness and ethical considerations

Prerequisites

  • Basic familiarity with using web applications
  • No prior AI or technical experience required
  • Access to a ChatGPT account (free or paid version)

What You'll Be Able to Do After

  • Construct effective prompts using zero-shot, few-shot, and chain-of-thought methods
  • Tailor ChatGPT outputs for specific business and productivity tasks
  • Generate high-quality content, summaries, and ideas efficiently
  • Implement reusable prompt workflows in daily work
  • Apply ethical guidelines to avoid bias and misinformation in AI outputs
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