Prompt Engineering for Educators Specialization Course Syllabus

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

Module 1: Foundations of Generative AI in Law

Estimated time: 40 hours

• Understand the principles of generative AI
• Explore AI's impact on the legal field
• Learn key terminology in AI and law
• Review real-world applications of AI in legal contexts

Module 2: Prompt Engineering Techniques

Estimated time: 40 hours

• Learn how to craft effective prompts for LLMs
• Practice techniques for guiding AI responses
• Apply prompt engineering to legal research tasks
• Use advanced strategies for refining AI outputs

Module 3: Legal Applications of AI

Estimated time: 40 hours

• Use AI for legal research and case analysis
• Automate document drafting with AI tools
• Apply AI in due diligence processes
• Test AI-generated legal content for accuracy

Module 4: Ethical and Privacy Considerations

Estimated time: 40 hours

• Identify ethical challenges in AI use
• Understand data privacy concerns in legal settings
• Ensure fairness and transparency in AI systems
• Comply with professional responsibility rules

Module 5: Scenario Testing

Estimated time: 40 hours

• Design test scenarios for AI legal tools
• Evaluate AI output relevance and correctness
• Iterate prompts based on performance feedback
• Validate AI-assisted legal workflows

Module 6: Final Project

Estimated time: 40 hours

• Design an AI-powered legal workflow
• Implement prompt engineering techniques
• Submit a tested and documented project

Prerequisites

• Familiarity with basic legal concepts
• Access to AI tools like ChatGPT
• Basic understanding of technology in professional settings

What You'll Be Able to Do After

• Apply generative AI effectively in legal practice
• Construct precise and effective prompts for legal tasks
• Use AI to enhance legal research and drafting efficiency
• Address ethical and privacy concerns responsibly
• Test and refine AI-generated legal content