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Prompt Engineering for ChatGPT

By the end of the course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarisation, game play, planning, simulation, and programming.

Why should I take this course?

By the end of the course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarisation, game play, planning, simulation, and programming.
ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it. This course will teach you how to be an expert user of these generative AI tools. The course will show amazing examples of how you can tap into these generative AI tools' emergent intelligence and reasoning, how you can use them to be more productive day to day, and give you insight into how they work.

Large language models respond to instructions and questions posed by users in natural language statements, known as “prompts”. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools. 

This course introduces students to the patterns and approaches for writing effective prompts for large language models. Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT. Students will start with basic prompts and build towards writing sophisticated prompts to solve problems in any domain. By the end of the course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarisation, game play, planning, simulation, and programming.

What you will learn

Application

How to apply prompt engineering to effectively work with large language models, like ChatGPT

Patterns

How to use prompt patterns to tap into powerful capabilities within large language models

Outcome

How to create complex prompt-based applications for your life, business, or education

Our students love us

I really enjoyed this course. From knowing nothing about LLM's I am now confident that I can utilise ChatGPT to improve my business, optimise my time and increase my outputs at the same time.
CC
Great course. I enjoyed learning its contents. Some examples used to illustrate the prompts could be improved (as always).
HS
Great course really well presented - suitable even for people with little or no IT or AI background
Malenie
For someone who knows nothing about programming and ChatGPT, this course opens up the door to understanding how to communicate with large language models via a programming mindset.

I would recommend this course to anyone at an entry level and is looking in learning more about the dialogue with any AI Model. 
Jenny
I highly recommend this course to any professionals looking to use technology to enable AI functionality to achieve better outcomes related to automation and consistency. While some knowledge of Computer Science may be helpful, you do not need to know any specific programming languages.
Abe
This course was exactly what I was looking for. A deeper dive into the possibilities of learning language models, that shows how to use the patterns of language to better control outputs from ChatGPT. I absolutely loved the printable pattern sheets that summarized each different prompt pattern - great future resource to hang onto. Information was well presented and organized. 
Lynn

Dr. Jules White

Associate Professor of Computer Science
University of Maryland, College Park
Vanderbilt University
About me
Dr. Jules White is an Assistant Professor of Computer Science in the Dept. of Electrical Engi­neering and Computer Science at Vanderbilt University. He was previously a faculty member in Electrical and Computer Engineering at Virginia Tech and won the Outstanding New Assistant Professor Award at Virginia Tech. His research has won 5 Best Paper and Best Student Paper Awards. He has also published over 85 papers.

Dr. White’s research focuses on securing, opti­mizing, and leverag­ing data from mobile cyber-physical systems. His mobile cyber-physical systems research spans four key focus areas: (1) mobile security and data collection, (2) high-precision mobile augmented reality, (3) mobile device and supporting cloud infrastructure power and configuration optimiza­tion, and (4) applications of mobile cyber-physical systems in multi-disciplinary domains, includ­ing energy-optimized cloud computing, smart grid sys­tems, healthcare/manufacturing security, next-generation construction technologies, and citi­zen science.

Dr. White's research has been licensed and transitioned to industry, where it won an In­novation Award at CES 2013, attended by over 150,000 people, was a finalist for the Technical Achievement at Award at SXSW Interactive, and was a top 3 for mobile in the Accelerator Awards at SXSW 2013. His research is conducted through the Mobile Application computinG, optimizatoN, and secUrity Methods (MAGNUM) Group at Van­derbilt University, which he di­rects.

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