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Prompt Engineering with GPT

Programming for Custom Content

Rudi Hinds

Ever wondered how we can use AI in programing to make our workloads easier? In this 2-hour long project-based course, you will master the art of prompt engineering to design an educational tool using the capabilities of OpenAI's GPT-3 language model. You will be creating a multiple-choice quiz generator using Python and GPT-3. You will write a Python script from scratch that is able to generate a custom multiple-choice exam, capable of dynamically adjusting the topic, number of questions, and number of potential answers. To successfully navigate this project, you should have a basic understanding of Python programming, functions, variable assignments, and experience working with APIs.

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What's inside

Syllabus

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Read about what's good
what should give you pause
and possible dealbreakers
Applies latest AI-powered tools to create educational quizzes for multiple-choice exams
Develops working knowledge of Python script for exam generation
Builds solid foundation for learners in applied AI

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Reviews summary

Python-based gpt prompt engineering project

According to students, this course offers a highly practical, hands-on project focused on prompt engineering with GPT-3 using Python. Learners frequently highlight its concise and efficient structure, making it a quick skill add-on that's immediately applicable. While it provides a solid introduction for those new to prompt engineering, some learners note it assumes a basic understanding of Python and APIs and may be too basic for experienced users in the field. The unique multiple-choice quiz generator project is widely appreciated as a concrete example.
Requires prior knowledge of Python and API interaction.
"It assumes you are comfortable with Python and APIs, which is stated in the prerequisites, so be sure you have that foundation."
"To truly benefit, you'll need a basic understanding of Python programming, functions, variable assignments, and experience working with APIs."
"I found this course is more suited for complete beginners in prompt engineering, but it definitely assumes you already know Python well."
Provides a strong foundational introduction to the topic.
"This course was a fantastic introduction to prompt engineering with GPT-3."
"It's best for absolute beginners to prompt engineering who also have a good grip on Python."
"Good foundational course for prompt engineering. It helps you get your hands dirty with the OpenAI API."
Delivers core concepts effectively within a short duration.
"A very well-structured and concise project. It's a great hands-on way to get familiar with GPT and prompt design."
"Perfect for a quick skill add-on."
"The project is focused and achievable within the stated time frame, respecting my time."
A hands-on, application-oriented learning experience.
"The project was incredibly practical, allowing me to build a working quiz generator in just two hours."
"Absolutely loved the practical approach. Instead of just theory, we immediately dive into coding a useful application."
"This course was exactly what I needed to bridge the gap between Python programming and using large language models."
Some users faced challenges with initial environment setup.
"Found it difficult to get started with API keys and environment setup. The course could use more robust troubleshooting guides..."
May be too basic for those with prior AI/GPT experience.
"If you already have some experience with prompt engineering or GPT APIs, you might not learn much new."
"However, I found it a bit too basic. If you already have some experience with prompt engineering or GPT APIs, you might not learn much new."
"For someone who already tinkers with GPT-3, it felt like a recap."

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 Prompt Engineering with GPT: Programming for Custom Content with these activities:
Gather Resources on Prompt Engineering
Build a valuable repository of articles, tutorials, and code samples to support your continued learning and experimentation with prompt engineering.
Show steps
  • Search for and bookmark relevant resources on prompt engineering
  • Organize your collection into categories or tags for easy access
  • Share your compilation with other learners to foster collaboration
Refresh Python programming fundamentals
Review the basics of Python programming, including variables, data types, control flow, and functions, to enhance your understanding of the course material.
Browse courses on Python Programming
Show steps
  • Review online tutorials or documentation on Python fundamentals.
  • Complete practice exercises or code challenges to reinforce your understanding.
Review Python Programming Fundamentals
Develop a solid understanding of Python language constructs to prepare for working with GPT-3.
Browse courses on Python Programming
Show steps
  • Review the basics of data types, variables, and operators in Python
  • Practice writing simple Python functions and control flow statements
  • Review the basics of object-oriented programming in Python
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Follow tutorials on prompt engineering
Explore tutorials and resources on prompt engineering techniques to enhance your ability to effectively communicate with GPT-3.
Browse courses on Prompt Engineering
Show steps
  • Identify reputable sources or platforms offering tutorials on prompt engineering.
  • Follow step-by-step instructions and practice writing prompts.
  • Experiment with different prompt formats and parameters.
Connect with Experienced Python Developers and AI Enthusiasts
Seek guidance and support from experts to enhance learning.
Show steps
  • Identify potential mentors in the Python and AI communities
  • Reach out to mentors and request their guidance
  • Regularly communicate with mentors to discuss progress and seek feedback
Craft Effective Prompts for GPT-3
Develop proficiency in crafting precise and informative prompts that elicit valuable responses from GPT-3.
Show steps
  • Practice writing clear and concise prompts that align with your desired outcome
  • Experiment with different prompt formats and variations to optimize GPT-3's responses
  • Review and analyze your prompts to identify areas for improvement
Peer collaboration: quiz each other
Prepare for assessments, reinforce knowledge, and refine prompt engineering skills by actively engaging with peers.
Show steps
  • Form study groups or pair up with a classmate
  • Create a set of multiple-choice questions using GPT-3
  • Take turns quizzing each other
  • Discuss the rationale behind correct and incorrect answers
Practice writing prompts for GPT-3
Engage in regular practice of writing prompts for GPT-3 to improve your ability to elicit desired responses and refine your communication with the model.
Browse courses on Prompt Engineering
Show steps
  • Identify specific topics or scenarios for prompt writing.
  • Draft prompts using clear and concise language.
  • Experiment with different prompt formats and parameters.
  • Evaluate the responses generated by GPT-3 and adjust prompts accordingly.
Practice Prompt Engineering with GPT-3
Master the art of crafting effective prompts to maximize the capabilities of GPT-3.
Browse courses on Prompt Engineering
Show steps
  • Experiment with different prompt formats and structures
  • Analyze the impact of context and tone on GPT-3 responses
  • Practice fine-tuning prompts for specific tasks and domains
Explore GPT-3 Examples and Best Practices
Enhance your knowledge of GPT-3's capabilities and effective use by reviewing expert tutorials and examples.
Show steps
  • Identify relevant GPT-3 tutorials and documentation
  • Follow step-by-step guides to build projects using GPT-3
  • Analyze code samples and best practices to improve your prompt engineering skills
Participate in group discussions on prompt engineering
Engage in peer discussions to share knowledge, troubleshoot challenges, and refine your understanding of prompt engineering techniques.
Browse courses on Prompt Engineering
Show steps
  • Join or create a study group or online forum dedicated to prompt engineering.
  • Actively participate in discussions, sharing your experiences and insights.
  • Collaborate on projects or challenges related to prompt engineering.
Attend a Workshop on GPT-3 and Prompt Engineering
Gain hands-on experience and insights from experts by attending a workshop focused on GPT-3 and prompt engineering.
Show steps
  • Research and identify relevant workshops in your area or online
  • Register for a workshop that aligns with your learning goals
  • Actively participate in the workshop sessions and engage with the instructors
Build a Custom Multiple-Choice Quiz Generator
Develop a deeper understanding of prompt engineering principles and practice writing Python code by creating a tool that can automate the generation of customized multiple-choice quizzes.
Browse courses on Prompt Engineering
Show steps
  • Research and understand prompt engineering techniques for GPT-3
  • Plan and design the structure and functionality of your quiz generator
  • Write Python code to interface with GPT-3 and generate quiz questions
  • Implement features to customize the quiz parameters (topic, number of questions, etc.)
  • Test and refine your quiz generator to ensure accuracy and efficiency
Design a quiz using Python and GPT-3
Apply your knowledge of Python and GPT-3 by creating a functional quiz that demonstrates your understanding of the course concepts.
Show steps
  • Plan the quiz structure, including topics, number of questions, and answer formats.
  • Write Python code to interface with GPT-3 and generate quiz questions.
  • Integrate the quiz into a user-friendly interface.
  • Test and refine the quiz for accuracy and effectiveness.
Build a quiz website
Solidify your understanding of Python, web development concepts, and prompt engineering by creating a fully functional quiz website.
Browse courses on Python Programming
Show steps
  • Design the website's layout and user interface
  • Develop the backend logic using Python
  • Integrate GPT-3 to generate quizzes
  • Deploy the website on a hosting platform
  • Share your website with others and gather feedback
Develop an educational tool using Python and GPT-3
Extend your learning by embarking on a project that involves designing and developing an educational tool leveraging Python and GPT-3, showcasing your proficiency in applying the course concepts.
Show steps
  • Identify a specific educational need or problem to address.
  • Design the tool's functionality, interface, and content.
  • Implement the tool using Python and GPT-3.
  • Evaluate the tool's effectiveness and make improvements.
Build a Simple Quiz Generator with Python and GPT-3
Apply programming skills and GPT-3 capabilities to create a practical tool.
Show steps
  • Design the structure and functionality of the quiz generator
  • Implement the Python code to interact with GPT-3 and generate questions
  • Develop a user interface for the quiz generator
  • Test and refine the quiz generator for accuracy and functionality
Participate in GPT-3 or NLP-related Challenges
Challenge yourself and test your skills against others.
Show steps
  • Identify relevant GPT-3 or NLP challenges and competitions
  • Prepare and submit your solutions to the challenges
  • Review and analyze the feedback on your submissions

Career center

Learners who complete Prompt Engineering with GPT: Programming for Custom Content will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Engineer
An Artificial Intelligence Engineer builds, tests, and deploys AI solutions. With the ability to create a multiple-choice quiz generator using Python and GPT-3, you will have the foundation you need for a successful career as an Artificial Intelligence Engineer. Knowledge of Python programming, functions, variable assignments, and experience working with APIs is not only foundational for success in this role, but are addressed in this course's syllabus.
See salaries and explore the career path for Artificial Intelligence Engineer
Machine Learning Engineer
A Machine Learning Engineer develops, builds, and maintains machine learning models and algorithms. This course will help you build a foundation in Python programming, functions, variable assignments, and experience working with APIs, which are all important concepts for success in this role.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
A Data Scientist analyzes data to extract meaningful insights and trends. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Data Scientist
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be helpful for building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Software Engineer
Web Developer
A Web Developer designs and develops websites and web applications. This course may be helpful for building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Web Developer
Product Manager
A Product Manager plans, develops, and launches new products or features. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Product Manager
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Business Analyst
Project Manager
A Project Manager plans, executes, and closes projects. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Project Manager
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Technical Writer
Data Analyst
A Data Analyst analyzes data to extract meaningful insights and trends. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Data Analyst
UX Designer
A UX Designer designs user interfaces for websites and applications. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for UX Designer
Front-End Developer
A Front-End Developer designs and develops the user interface of websites and applications. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Front-End Developer
Back-End Developer
A Back-End Developer designs and develops the server-side of websites and applications. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Back-End Developer
Full-Stack Developer
A Full-Stack Developer designs and develops both the front-end and back-end of websites and applications. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Full-Stack Developer
Computer Programmer
A Computer Programmer writes and maintains computer code. This course may be helpful in building a foundation in Python programming, functions, variable assignments, and experience working with APIs, which can be helpful for success in this role.
See salaries and explore the career path for Computer Programmer

Reading list

We've selected nine 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 Prompt Engineering with GPT: Programming for Custom Content.
Cover image
The Elements of Statistical Learning
Save
Provides a comprehensive overview of statistical learning, covering both the theoretical foundations and practical applications. It would be a valuable resource for learners who want to gain a deeper understanding of statistical learning and its applications.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Deep Learning
Save
Comprehensive reference on deep learning, covering both the theoretical foundations and practical applications. It would be a valuable resource for learners who want to gain a deeper understanding of deep learning and its applications.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Speech and Language Processing. An Introduction to...
Save
Provides a comprehensive overview of speech and language processing, covering both the theoretical foundations and practical applications. It would be a valuable resource for learners who want to gain a deeper understanding of speech and language processing and its applications.
Speech and Language Processing An Introduction to...
Paperback
$$
Cover image
Computer Vision
Save
Provides a comprehensive overview of computer vision, covering both the theoretical foundations and practical applications. It would be a valuable resource for learners who want to gain a deeper understanding of computer vision and its applications.
Computer Vision
Paperback
Check
Computer Vision
Kindle Edition
Check
Cover image
Practical Natural Language Processing
Save
Provides a practical introduction to natural language processing, covering both the theoretical foundations and hands-on implementation. It could be a useful resource for learners who want to dive deeper into the technical aspects of NLP.
Practical Natural Language Processing: A...
Paperback
$$$
Practical Natural Language Processing: A...
Kindle Edition
$$
Cover image
Reinforcement Learning, second edition
Save
Classic textbook on reinforcement learning, covering both the theoretical foundations and practical applications. It would be a useful resource for learners who want to gain a deeper understanding of reinforcement learning and its applications.
Reinforcement Learning, second edition: An...
Hardcover
$$$
Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Deep Learning for Coders with fastai and PyTorch
Save
Provides a hands-on introduction to deep learning using the Fastai and PyTorch libraries. It would be a helpful resource for learners who want to get started with deep learning.
Deep Learning for Coders with Fastai and PyTorch:...
Paperback
$$
Deep Learning for Coders with fastai and PyTorch:...
Kindle Edition
$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive overview of Python's capabilities for data analysis. As this course uses Python for the coding project, this book would be beneficial for learners who need to brush up on their Python skills or learn about data analysis with Python.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Artificial Intelligence For Dummies
Save
Provides a simplified overview of artificial intelligence, making it accessible to learners with no prior knowledge of the field. It would be a helpful resource for learners who want to get started with artificial intelligence.
Artificial Intelligence For Dummies (For Dummies...
Paperback
$$
Artificial Intelligence For Dummies (For Dummies...
Paperback
$$
L'Intelligence artificielle Pour les Nuls, NE
Paperback
$$
Artificial Intelligence For Dummies
Kindle Edition
$$

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Effort
2 hours
Level
Intermediate
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Coursera
Institution
Coursera Project Network
Instructor
Rudi Hinds
Language
English
Transcripts
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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Applies latest AI-powered tools to create educational quizzes for multiple-choice exams
Develops working knowledge of Python script for exam generation
Builds solid foundation for learners in applied AI
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