Prompt Engineering for ChatGPT by Vanderbilt University (Coursera)
This Coursera Prompt Engineering course aims to equip learners with the knowledge and skills to effectively work with large language models, particularly ChatGPT. It focuses on teaching the art of crafting powerful and effective prompts to get the desired output from ChatGPT. By learning prompt engineering, learners can significantly enhance their productivity and creativity when using large language models in various domains, such as writing, summarization, game play, planning, simulation, and programming. The course not only covers basic prompts but also guides students to create complex prompt-based applications tailored to their specific needs.
Key Learning Objectives
- Apply prompt engineering techniques to work effectively with large language models like ChatGPT.
- Utilize prompt patterns to access powerful capabilities within large language models.
- Create sophisticated prompt-based applications for personal, business, or educational purposes.
Who this Course is for
The course is suitable for a wide range of individuals, including beginners and those with basic computer usage skills. Whether you are a professional seeking to enhance productivity in your job, a business owner looking to leverage AI tools for various tasks, a student exploring AI applications, or someone interested in AI for personal projects, this course caters to diverse needs and skill levels.
Prerequisites
This ChatGPT course does not have strict prerequisites and is designed to be accessible to learners with basic computer usage skills. Familiarity with using a browser and accessing ChatGPT is all that is needed to get started.
Course Syllabus
The course is divided into six weeks, with each week covering specific topics related to prompt engineering for Chat GPT. The content includes video lectures, readings, quizzes, and hands-on examples to reinforce learning. Here’s an overview of the course structure:
Week 1: Course Introduction
- Introduction to the course and its objectives
- Illustrative examples of building a meal plan, acting as a speech pathologist, and understanding large language models’ randomness
Week 2: Introduction to Prompts
- Understanding what prompts are and their significance
- Intuition behind prompts and how they can be used for programming
- Introduction to prompt patterns, including the Persona Pattern and more
Week 3: Prompt Patterns I
- In-depth exploration of various prompt patterns, such as the Question Refinement Pattern, Cognitive Verifier Pattern, Audience Persona Pattern, and Flipped Interaction Pattern
Week 4: Few-Shot Examples
- Learning about few-shot examples and how they can be effectively used
- Exploring Chain of Thought Prompting, ReAct Prompting, and using large language models for grading
Week 5: Prompt Patterns II
- Further examination of prompt patterns, including the Game Play Pattern, Template Pattern, Meta Language Creation Pattern, Recipe Pattern, and Alternative Approaches Pattern
Week 6: Prompt Patterns III
- The final week delves into more prompt patterns, such as the Ask for Input Pattern, Combining Patterns, Outline Expansion Pattern, Menu Actions Pattern, Fact Check List Pattern, Tail Generation Pattern, and Semantic Filter Pattern
Instructor
The course is led by Dr. Jules White, an Associate Professor of Computer Science and Electrical Engineering at Vanderbilt University. Dr. White is a top-rated instructor with a rating of 4.93/5 from 254 ratings, highlighting his credibility and expertise in the field.
Pros
- Comprehensive Content : The course covers various aspects of prompt engineering, making it suitable for learners at different skill levels.
- Practical Application : Hands-on projects and examples allow learners to apply their knowledge and develop prompt engineering skills in real-world scenarios.
- Expert Instructor : Dr. Jules White’s credentials and industry expertise provide assurance of receiving top-notch instruction.
- Diverse Use Cases : The course demonstrates the versatility of prompt engineering, enabling learners to harness large language models for numerous applications.
Cons
- Lack of Advanced Content : Advanced users might find the course focused on introductory and intermediate-level content, leaving some room for more advanced techniques.
Why we chose this Course
The comprehensive syllabus, practical projects, and expert instruction by Dr. Jules White make this Chat GPT course a great choice for beginners and intermediate learners seeking to enhance their prompt engineering skills. Whether you’re a professional, business owner, or student, this course equips you with the ability to use large language models efficiently in various domains, unlocking creativity and productivity in your AI-driven endeavors.
Duration : 18 hours
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