Prompt Engineering I
Overview
Prompt engineering is the practice of designing, testing, and refining the input text (or “prompt”) given to a language model or other AI system to produce a desired output. Prompt engineering involves understanding how to communicate clearly and effectively with AI models. Prompt Engineering I introduces students to the core introductory as well as some intermediate prompting techniques.
By the end of this course, participants will be able to:
- Define and explain fundamental prompt engineering concepts
- Apply basic prompt construction techniques to elicit desired responses
- Identify and mitigate common prompt-related issues
- Experiment with different prompt parameters and structures
- Critically evaluate AI model outputs based on prompt effectiveness
This course is included in the AI Learning Subscription.
Schedule
Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.
Duration: 4 Hours
Dates
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GTR: Guaranteed to Run
Course Outline
Prompt Engineering I
1. Introduction to Prompting
- What is prompting? Why is it important?
- Demonstrating simple prompts: Q&A, definitions, summaries.
- Hands-on: Craft your first basic prompt.
2. Prompting Fundamentals
- Elements of a good prompt: Clarity, specificity, and structure.
- Types of prompts: Instructional, open-ended, and task-specific.
- Demo:
- Simple tasks: Summarize an article, write a short email.
- Use cases: Personal productivity, brainstorming.
- Practice: Turn vague prompts into specific ones.
3. Introduction to Intermediate Techniques
- Role-based prompts: Assigning personas (e.g., teacher, lawyer, chef).
- Iterative prompting: Refining responses step-by-step.
- Few-shot prompting: Using examples to guide output.
- Demo:
- Role-based: “Act as a travel agent and suggest a 3-day itinerary.”
- Few-shot: Format data consistently.
- Hands-on: Write a few-shot or role-based prompt.
4. Interactive Exercises and Challenges
- Group activity: Design prompts for real-world scenarios (e.g., create a lesson plan, simulate a conversation).
- Review and critique outputs: Learn from mistakes and successes.
5. Wrap-Up and Q&A (15 minutes)
- Recap key concepts.
- Preview advanced topics (e.g., Chain-of-Thought, Self-Consistency)