OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.

Complete ChatGPT Prompt Engineering Course

Leon Petrou and Michael Efthymiou

Welcome to the "Complete ChatGPT Prompt Engineering Course", an immersive learning experience designed for professionals who seek to harness the power of artificial intelligence to boost their productivity at work.

In this course, we dive deep into the art and science of Prompt Engineering, a crucial skillset for anyone looking to leverage the groundbreaking advancements in AI, specifically the ChatGPT model, to improve their work processes. We will explore how to create, refine, and deploy prompts effectively to solicit desired responses from AI language models, serving a wide array of practical applications.

Read more

Welcome to the "Complete ChatGPT Prompt Engineering Course", an immersive learning experience designed for professionals who seek to harness the power of artificial intelligence to boost their productivity at work.

In this course, we dive deep into the art and science of Prompt Engineering, a crucial skillset for anyone looking to leverage the groundbreaking advancements in AI, specifically the ChatGPT model, to improve their work processes. We will explore how to create, refine, and deploy prompts effectively to solicit desired responses from AI language models, serving a wide array of practical applications.

Throughout the course, you will be engaged in hands-on projects:Project #1: Engineering Your LinkedIn Summary Prompt

Project #2: Building a Blog Post Generator Prompt

Project #3: Create a PowerPoint Presentation Prompt

Project #4: Currency Converter With Python and Bing Prompt

Project #5: Build Custom GPTs

Project #6: Amazon Sales Chatbot Prompt

Plus 8 more projects in the 'Challenge Bank' chapter, including:Project #7: Converting Code with ChatGPT

Project #8: Create a Classic Game of 'Pong' Entirely with ChatGPT

Project #9: Auto-Email Reply Generator

Project #10: Creating Flashcards with ChatGPT and Anki

Project #11: Automating Excel with ChatGPT and VBA

Project #12: Analyzing Data with GPT for Sheets

Project #13: Scraping PDFs with ChatGPT

Project #14: Summarization and Translation

These real-world applications serve as stepping stones towards mastering the utilization of AI language models in your daily tasks.

By the end of this course, you will:

  • Boost your productivity

  • Enhance the quality of your work

  • Secure your position in the job market

  • Automate complex business processes, saving time and effort

  • Stay ahead of AI advancements in a $1.5 Trillian industry

We will also delve into the strategies for analyzing and debugging prompt responses, an essential skill in ensuring the accuracy and relevance of AI outputs. Advanced Prompt Engineering techniques, including using plugins for more complex tasks like conducting competitor market research, will be unveiled to elevate your skills further.

By the end of this course, you will not only understand the fundamentals and advanced aspects of Prompt Engineering but you will also be well-equipped to implement these techniques in your professional life, driving increased efficiency and effectiveness in your daily tasks.

This course is your stepping stone towards becoming a frontrunner in the rapidly evolving field of AI and language models.Whether you're a seasoned professional looking to upskill or a busy individual seeking to leverage AI for improved productivity, this course offers a comprehensive guide to mastering Prompt Engineering with real-world applications.

Enroll today and step into the future of efficient and effective work.

Enroll now

What's inside

Learning objectives

  • Create and refine state-of-the-art prompts from scratch.
  • Automate 15+ real-world business processes with chatgpt.
  • Master the openai playground and learn prompting best practices.
  • Create business solutions and web applications with the openai api.

Syllabus

Introduction to Prompt Engineering
What is Prompt Engineering?
Get the Prompts & Course Resources Here
Create your Account: ChatGPT and Playground
Read more
Demonstrating the Power of ChatGPT
Who is this Course for?
How to Become a Language Model Whisperer
Protect your Privacy
How to get Support when you need it?
What you can Expect?
The Science of Prompt Engineering
Understanding the 3 Types of AI
Speak the Same Language as AI
Create your Auto-Reply Email Generator
Using our Best Prompting Principles
What are AI Language Models
GPT in a Nutshell
Understanding Short-Term and Long-Term Memory Mangement
Learning Approaches in AI
Types of Prompts
Query Decomposition
Decision Making in Prompt Engineering
Role-Based Prompting
Ensuring Semantic Coherence
Answer Engineering
Handling Pitfalls and Limitations of LLMs
Pricing and The Role of Tokens
Generate and Analyze Images with GPT-4 (Multimodal)
Follow Along with the Projects

Understanding the science behind prompt engineering will allow you to become a world class prompter! See how well you retained the fundamental concepts taught in this chapter.

Project #1: Engineering Your LinkedIn Summary Prompt
Project #1 Demo: Engineering Your LinkedIn Summary Prompt
What are Hyperparameters?
Choosing the Mode
Selecting the Model
Using Zero-Shot Prompting
Populating the Prompt
Using Token Probabilities
Controlling Computational Creativity - Temperature and Top P
Optimizing Max Length
What are Frequency and Presence Penalty?
Enhancing Outputs with 'Best Of'
Inject Start and Restart Text
Engineer your Cover Letter

Understanding the theory and practical application of hyperparameters will allow you to become a world class prompter! See how well you retained the fundamental concepts taught in this chapter.

Project #2: Building a Blog Post Generator
Project #2 Demo: Building a Blog Post Generator
What are System, User and Assistant?
Role Prompt the AI
One-Shot Prompting
Few-Shot Prompting
Optimizing your Blog's SEO
Using AI to Grade AI
Detecting AI in your Responses
Advanced Utilization of the System Message
Setting Custom Instructions for ChatGPT
Engineer your Blog

Understanding the theory and practical application of shot prompting will allow you to become a world class prompter! See how well you retained the fundamental concepts taught in this chapter.

Project #3: Create a Powerpoint Presentation
Project #3 Demo: Create a PowerPoint Presentation
Leveraging the Power of System Messages
Discrete Prompting in the System Message
Combining Discrete and Continuous Prompting
Amend your Code with GPT
Playground vs ChatGPT for Code
Create your PowerPoint Presentation
Project #4: Currency Converter With Python and Bing
Project #4 Demo: Currency Converter with Python and Bing
ChatGPT with Internet Access
What is Response Analysis?
What are Hallucinations?
Dealing with Hallucinations
Re-Training ChatGPT
Validating Code Syntax
Validating Web-Scraped Data from ChatGPT
Leveraging your Domain Knowledge
Build a Currency Converter with Python and ChatGPT

Understanding the risks of hallucinations as well learning how to validate your responses, will allow you to become a world class prompter! See how well you retained the fundamental concepts taught in this chapter.

Project #5: Building Custom GPTs
Discover OpenAI's Powerful GPTs
Build Your First GPT - Your Investment Tutor
Take an Advanced Look at GPTs
What are GPT Actions?
Using Zapier to Build Customized Actions
Create Google Sheet Row
Reply to email via Gmail
Project #6: Amazon Sales Chatbot
Project #7 Demo: Amazon Sales Chatbot
Incorporating In-Context Learning
Cementing Characterization Borders
Compartmentalized Problem Solving
Trialing the Chatbot
Balancing Cost with Accuracy
Building in Link Generation
Use this Trick for Lengthy Prompts
Finalizing the Chatbot

You have learned a lot of new prompting skills! Now you are at a point of combining them together to maximize your prompting ability! See how well you remember some key concepts taught thus far.

Challenge Bank
Intro: Challenge Bank
Challenge 1: Converting Code with ChatGPT

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Features hands-on projects, which allows learners to immediately apply prompt engineering skills to real-world scenarios, such as creating blog posts and PowerPoint presentations
Covers strategies for analyzing and debugging prompt responses, which is essential for ensuring the accuracy and relevance of AI outputs in professional settings
Explores advanced prompt engineering techniques, including using plugins for complex tasks like competitor market research, which can elevate professional skills
Includes a challenge bank with projects like converting code and automating Excel, which provides opportunities to apply skills in diverse business contexts
Teaches learners how to build custom GPTs and Amazon sales chatbots, which are valuable skills for automating business processes and improving customer engagement
Examines the role of tokens and pricing, which is important for understanding the costs associated with using AI language models in business applications

Save this course

Save Complete ChatGPT Prompt Engineering Course to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Complete ChatGPT Prompt Engineering Course with these activities:
Review Fundamentals of AI
Reviewing AI fundamentals will provide a solid foundation for understanding how ChatGPT and other language models work, making prompt engineering more effective.
Browse courses on AI Fundamentals
Show steps
  • Review online resources on AI basics.
  • Complete a short online quiz on AI concepts.
Read 'Prompt Engineering for Dummies'
Reading this book will provide a solid foundation in prompt engineering principles and techniques, enhancing your ability to create effective prompts for ChatGPT.
View Generative AI For Dummies (For Dummies... on Amazon
Show steps
  • Read the book, taking notes on key concepts.
  • Try out the examples provided in the book.
Write a Blog Post on Prompt Engineering
Writing a blog post will help solidify your understanding of prompt engineering by requiring you to explain the concepts to others.
Show steps
  • Research current trends and best practices in prompt engineering.
  • Outline the key topics to cover in the blog post.
  • Write the blog post, providing clear explanations and examples.
  • Edit and proofread the blog post.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Simple Chatbot
Building a chatbot will provide hands-on experience in applying prompt engineering techniques to create a functional AI application.
Show steps
  • Define the purpose and functionality of the chatbot.
  • Design the conversation flow and prompts.
  • Implement the chatbot using a platform like Dialogflow or Rasa.
  • Test and refine the chatbot's responses.
Read 'Generative AI with Python and TensorFlow'
Reading this book will provide a deeper understanding of the technology behind ChatGPT, allowing you to create more sophisticated prompts.
View Putting Knowledge to Work on Amazon
Show steps
  • Read the book, focusing on the chapters related to generative models.
  • Experiment with the code examples provided in the book.
Prompt Engineering Challenge
Practicing prompt engineering through challenges will help refine your skills and identify areas for improvement.
Show steps
  • Find a set of prompt engineering challenges online.
  • Attempt each challenge, focusing on different techniques.
  • Analyze your results and identify areas where you struggled.
  • Repeat challenges to improve your performance.
Create a Prompt Engineering Portfolio
Creating a portfolio will showcase your prompt engineering skills and provide a tangible demonstration of your abilities.
Show steps
  • Gather examples of your best prompts and their outputs.
  • Write a brief description of each prompt, explaining its purpose and the techniques used.
  • Organize the prompts into a portfolio format, such as a website or document.
  • Share your portfolio with others and solicit feedback.

Career center

Learners who complete Complete ChatGPT Prompt Engineering Course will develop knowledge and skills that may be useful to these careers:
AI Prompt Engineer
An AI Prompt Engineer specializes in crafting effective prompts for AI models, a core skill taught in this course. This role involves creating, testing, and refining prompts to elicit desired outputs from language models like ChatGPT. This course, by focusing on real-world prompt engineering projects for tasks such as blog post generation and presentation creation, directly prepares you for the hands-on requirements of this position. As a Prompt Engineer, you'll also use principles of prompt engineering to create custom GPTs, and this course provides a solid foundation for that. This role is crucial for organizations leveraging AI, and this course is an ideal first step.
See salaries and explore the career path for AI Prompt Engineer
AI Chatbot Developer
An AI Chatbot Developer creates and maintains conversational AI systems. This course, with its emphasis on prompt engineering, including role-based prompting, equips learners with the skills to design effective chatbot interactions. The Amazon Sales Chatbot project in particular is directly relevant to this role, as it provides hands-on experience building a practical chatbot. Additionally, this course touches on analyzing and debugging prompt responses, which is a critical aspect of chatbot development. The course's focus on creating and refining prompts will allow you to create sophisticated, natural language interactions within chatbots.
See salaries and explore the career path for AI Chatbot Developer
Technical Writer
A Technical Writer creates clear and concise documentation for technical products and processes. The course's focus on generating text using AI language models is very applicable to this role. The course projects, such as generating blog posts and presentation content using prompts, will directly translate to a Technical Writer's ability to create various documentation types. By using the techniques taught in this course, a technical writer can greatly increase their productivity and improve the quality of their work. In addition, technical writing would benefit from the course's focus on prompt engineering principles and best practices.
See salaries and explore the career path for Technical Writer
Content Creator
A Content Creator produces engaging content for various platforms, and this course may be helpful. The course's emphasis on crafting effective prompts for generating blog posts and other written content aligns directly with the tasks of a content creator. Also, you will learn to use AI to augment the creative process. This course will prepare you to use language models to produce content quickly, efficiently, and with good quality, while the course may also be useful for coming up with new ideas and formats.
See salaries and explore the career path for Content Creator
Digital Marketer
A Digital Marketer uses online channels to promote products and services. The course may be useful, as the skills in creating compelling content using AI can be applied to marketing strategies. In particular, the ability to generate different kinds of written copy, from blog posts to email marketing content, can make a digital marketer more effective and efficient. The course's focus on prompt engineering to produce high-quality outputs can also improve the quality of marketing materials. This course particularly will equip you with cutting-edge skills in AI for marketing.
See salaries and explore the career path for Digital Marketer
Business Analyst
A Business Analyst identifies business needs and proposes solutions. The automation of business processes you practice in this course can help a Business Analyst streamline process documentation and workflow analysis. You are taught to use AI to automate tasks using prompt engineering, which aligns with a business analyst's need to improve operational efficiency. This course may also be useful, as some of the course projects, such as using AI for data analysis, directly relate to common tasks a Business Analyst performs. This course will provide a new range of tools and techniques to the Business Analyst.
See salaries and explore the career path for Business Analyst
Instructional Designer
An Instructional Designer creates learning materials and experiences. This course might be useful as the skills taught in the course for prompt engineering to generate content, such as presentation materials and flashcards, are directly applicable to this role. The course also teaches you to streamline content creation using AI, which can improve productivity and efficiency in developing educational materials. The course may also improve time spent on educational design, instead of creation. This course will help hone the skills required to make creative educational content more efficiently.
See salaries and explore the career path for Instructional Designer
Project Manager
A Project Manager oversees projects from start to finish. This course's focus on prompt engineering may be useful in helping a Project Manager streamline their workflow and tasks. You will learn to use AI language models to automate communication tasks, like auto-reply emails; this could also be applied to regular project status updates. The course's emphasis on boosting productivity with AI may be useful in helping project managers become more efficient in task completion and project management. The skills you will learn in this course will give you a competitive edge.
See salaries and explore the career path for Project Manager
Software Developer
A Software Developer designs, develops, and tests software applications. While this course may not be immediately applicable, it could be helpful. This course teaches how to use language models to generate and analyze code, which can enhance a Software Developer's coding efficiency. The projects, such as converting code with ChatGPT, provide exposure to using AI for development tasks. The ability to use AI tools to prototype applications will provide new insights into the software development process. A software developer may be able to use prompt engineering to help with certain aspects of creating applications.
See salaries and explore the career path for Software Developer
Research Analyst
A Research Analyst conducts research and analyzes data to provide insights. This course may be useful for a Research Analyst. You will learn to use language models to scrape PDFs and analyze data; this is a useful skill, since it saves time and provides access to a large range of information sources. Also, the course teaches you to understand the responses of language models, which can help improve accuracy when conducting research using AI. This course will help the Research Analyst efficiently leverage AI tools to improve the quality and speed of their work.
See salaries and explore the career path for Research Analyst
Data Scientist
A Data Scientist uses statistical techniques and machine learning to analyze data. This course may be helpful for a Data Scientist, as it teaches how to use language models to perform data analysis and automate tasks. The course project of using AI models to analyze data with GPT for Sheets is directly relevant to data analysis tasks. While this course's focus is not data science per se, it does equip a Data Scientist with tools to more efficiently analyze data and create visualizations. It can also help a Data Scientist more efficiently write code.
See salaries and explore the career path for Data Scientist
E-commerce Specialist
An E-commerce Specialist manages online sales and marketing efforts for online businesses. This course may be helpful, as the skills learned in prompt engineering can be used to enhance customer experience. The Amazon Sales Chatbot project is directly relevant here, teaching you to develop chat interactions that can improve customer interaction on e-commerce platforms. The course's emphasis on using language models to produce written content can also help with product descriptions and marketing copy. This course will teach you to use AI to improve the efficiency and effectiveness of online sales.
See salaries and explore the career path for E-commerce Specialist
Sales Representative
A Sales Representative sells products or services to customers. The course may be useful in that it enables automation of many business processes, especially those that involve communication. For a Sales Representative, this can include the generation of emails, and possibly even tailored sales materials, thus increasing their efficiency. The course may enhance their productivity in terms of both time and quality. This course will help a Sales Representative use AI to become more effective at their tasks.
See salaries and explore the career path for Sales Representative
Financial Analyst
A Financial Analyst examines financial data and provides recommendations. This course may be useful, as the skills you learn in using language models to analyze data can be applied to financial analysis. You learn how to use AI to automate data analysis tasks, potentially freeing up time for strategic thinking. The course's focus on prompt engineering may be useful for improving your capacity to conduct analyses more effectively, while also automating your work. This course may help the Financial Analyst use AI to improve productivity and insight.
See salaries and explore the career path for Financial Analyst
Human Resources Specialist
A Human Resources Specialist manages employee relations and HR processes. This course may be useful, as the skills in generating different kinds of written copy, such as job descriptions and training materials, could be helpful. Also, the course teaches how to automate tasks that involve communication, such as email responses, and this may save time. This course also teaches prompt engineering, which can be useful for HR specialists who are trying to use AI. By providing automation in daily tasks, this class may be useful.
See salaries and explore the career path for Human Resources Specialist

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Complete ChatGPT Prompt Engineering Course.
Cover image
Generative AI For Dummies
Save
Provides a comprehensive overview of prompt engineering, making it an excellent resource for beginners. It covers the basics of prompt design, optimization techniques, and real-world applications. It is particularly useful for understanding the nuances of crafting effective prompts for various AI models. This book serves as a practical guide to improve your prompt engineering skills.
Generative AI For Dummies (For Dummies (Business &...
Paperback
$$
Cover image
Putting Knowledge to Work
Save
Provides a deeper dive into the technical aspects of generative AI models, including TensorFlow. It covers topics such as model architecture, training techniques, and deployment strategies. While not strictly focused on prompt engineering, it provides valuable context for understanding the underlying technology. This book is more valuable as additional reading to expand your knowledge.
Putting Knowledge to Work
Paperback
Check
Putting Knowledge to Work
Kindle Edition
Check

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Similar courses are unavailable at this time. Please try again later.
Effort
11 total hours
Via
Udemy
Instructors
Leon Petrou
Michael Efthymiou
Language
English
Good to know
Features hands-on projects, which allows learners to immediately apply prompt engineering skills to real-world scenarios, such as creating blog posts and PowerPoint presentations
Covers strategies for analyzing and debugging prompt responses, which is essential for ensuring the accuracy and relevance of AI outputs in professional settings
Explores advanced prompt engineering techniques, including using plugins for complex tasks like competitor market research, which can elevate professional skills
Includes a challenge bank with projects like converting code and automating Excel, which provides opportunities to apply skills in diverse business contexts
Teaches learners how to build custom GPTs and Amazon sales chatbots, which are valuable skills for automating business processes and improving customer engagement
Examines the role of tokens and pricing, which is important for understanding the costs associated with using AI language models in business applications
Share and help others discover this course.
Facebook LinkedIn X Reddit Link Email
Don't miss out
Enroll today to gain access to this course
Enroll in this course
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser