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⇱ Prompt Engineering in Python, with GPT, and the OpenAI API | Coursera

Prompt Engineering in Python, with GPT, and the OpenAI API

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Prompt Engineering in Python, with GPT, and the OpenAI API

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Design effective prompts for coaching, chatbots, and data extraction tasks.

  • Mitigate hallucinations and optimize GPT responses using advanced techniques.

  • Implement chain-of-thought prompting and emotion-driven prompt strategies.

  • Use Python and the OpenAI API to build smart, scalable chatbots and extract structured data.

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Assessments

6 assignments

Taught in English

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This course is part of the Building with OpenAI API Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 6 modules in this course

Updated in May 2025.

This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master the art of prompt engineering in Python and unlock the full potential of GPT models and the OpenAI API. This course will teach you how to create, improve, and fine-tune prompts for various tasks, from personal coaching to building chatbots. You'll gain hands-on experience in iterative prompt design, mitigating hallucinations, and extracting structured information with JSON mode. The course begins with an introduction to prompt engineering fundamentals and explores how GPT models work in practical scenarios. You'll learn to set up your OpenAI API key, implement chain-of-thought prompting, and compare model versions like GPT-3.5 and GPT-4. Through real-world examples, you’ll also tackle advanced topics such as emotion-driven prompts and exponential backoff strategies. In later modules, you'll build your own Python API chatbot, enhance multi-turn conversations, and use GPT for extracting numerical values and image-based input. Techniques like "prompt hacking" and smart prompting will teach you how to maximize GPT’s performance, even with older models. This course is ideal for developers, data enthusiasts, and AI professionals seeking to master prompt engineering. Basic Python knowledge is required, and the course is designed for an intermediate difficulty level.

In this module, we will introduce the course by outlining its structure, goals, and unique value propositions. You will gain an understanding of prompt engineering basics and learn how the course content and instruction remain up-to-date with cutting-edge developments in the field.

What's included

4 videos2 readings

4 videos•Total 12 minutes
  • Course Overview and Key Points of Difference•6 minutes
  • Introduction•5 minutes
  • This course gets updated, and your instructor gets "updated"Part 01•1 minute
  • This course gets updated, and your instructor gets "updated"Part 02•1 minute
2 readings•Total 20 minutes
  • Introduction to the Course 'Prompt Engineering in Python, with GPT, and the OpenAI API'•10 minutes
  • Full Course Resources•10 minutes

In this module, we will explore how to leverage ChatGPT as a personal coach to support your growth and learning. You will learn how to access course materials, craft coaching prompts, and identify the limitations of the tool. Additionally, we’ll discuss using custom GPTs to elevate your Python learning experience.

What's included

5 videos1 assignment

5 videos•Total 26 minutes
  • Turning ChatGPT into a Personal Coach•8 minutes
  • How to download course prompts, code, and connect to resources•1 minute
  • Coach Prompt Deep Dive•4 minutes
  • Where ChatGPT fails•11 minutes
  • Learning Python with Custom GPTs•2 minutes
1 assignment•Total 15 minutes
  • ChatGPT as a Personal Coach - Assessment•15 minutes

In this module, we will dive into advanced prompting strategies to maximize GPT's capabilities while addressing common challenges. You will learn to iteratively improve prompts, apply chain-of-thought methods, and mitigate hallucinations. Additionally, you’ll explore findings from research like EmotionPrompt and implement practical solutions for real-world scenarios.

What's included

14 videos1 assignment

14 videos•Total 55 minutes
  • Setting up your OpenAI API Key•4 minutes
  • Learning Outcomes for the First Notebook•2 minutes
  • Python API Prompting and Iterative Prompt Improvement Part 1•9 minutes
  • Make sure that your version of the openai package is greater than 1.0.0•1 minute
  • Using GPT-4 and Other Model Versions•3 minutes
  • Iterative Prompting Improvement Part 2•5 minutes
  • Emphasizing an Important Point •0 minutes
  • Optional: Implementing Exponential Backoff for Querying the OpenAI API•1 minute
  • How we have applied Chain-of-Thought prompting•5 minutes
  • Chain-Of-Thought Prompting - the formal introduction•3 minutes
  • Reasoning Models•2 minutes
  • Inducing and Mitigating Hallucination in LLMs•12 minutes
  • EmotionPrompt - Findings from the Paper•4 minutes
  • EmotionPrompt in Practice•4 minutes
1 assignment•Total 15 minutes
  • Building up Prompts, Mitigating Hallucination, and Getting the Best Answers - Assessment•15 minutes

In this module, we will focus on building a chat bot using the Python API and refining prompt engineering techniques for advanced use cases. You will learn how to enhance conversation flow through prompt hacking and implement exponential backoff strategies for robust, multi-turn interactions.

What's included

3 videos1 assignment

3 videos•Total 13 minutes
  • Python API Chat Bot•6 minutes
  • Prompt Hacking•6 minutes
  • Optional: Implementing Exponential Backoff for Multi-Turn Conversations•1 minute
1 assignment•Total 15 minutes
  • Python API Chat Bot, and Prompt Hacking -Assessment•15 minutes

In this module, we will focus on techniques for extracting numerical values from text data and validating the accuracy of your extraction methods. Additionally, you will explore how to leverage JSON mode and optimize prompts to push GPT-3.5 performance closer to GPT-4, unlocking more powerful and structured outcomes.

What's included

2 videos1 assignment

2 videos•Total 18 minutes
  • Extracting Numerical Values from Text Data, and Testing the Extraction•6 minutes
  • JSON Mode, and pushing GPT 3.5 to the level of GPT 4 with smart prompting•12 minutes
1 assignment•Total 15 minutes
  • Extracting Numerical Values from Text Data, Testing your Prompts, and JSON Mode - Assessment•15 minutes

In this module, we will explore the concept of multimodal prompting, focusing on how GPT models interpret and utilize images. You will learn how to incorporate visual inputs into prompts to provide richer context and improve the accuracy of model outputs.

What's included

1 video1 reading2 assignments

1 video•Total 9 minutes
  • Image Understanding AKA "Vision"•9 minutes
1 reading•Total 10 minutes
  • Conclusion to the Course 'Prompt Engineering in Python, with GPT, and the OpenAI API'•10 minutes
2 assignments•Total 75 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,