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⇱ Prompt Engineering Foundations | Coursera

Prompt Engineering Foundations

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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

  • Gain hands-on experience in prompt engineering and its applications in AI.

  • Set up local Python environments and API keys for interacting with AI models.

  • Learn how to make API calls and manage outputs effectively for real-time responses.

  • Build AI-powered tools and command-line interfaces using modern libraries and frameworks.

Details to know

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Recently updated!

March 2026

Assessments

5 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Prompt Engineering Masterclass - From Beginner to Advanced Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

This course 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. In this comprehensive course, you will gain a solid foundation in prompt engineering, learning how to work with large language models (LLMs) effectively. You'll explore the power of prompt engineering and how to build AI-powered tools by interacting with APIs such as OpenAI and Anthropic. Through real-world examples and hands-on projects, this course will help you master the art of developing prompts that maximize the capabilities of AI models. As you move through the course, you will be guided step by step through key concepts, including setting up development environments, making your first API calls, and managing API costs. You will also delve into advanced techniques for controlling output, managing authentication, and optimizing large language models for real-time applications. Each section is designed to build your skills progressively, ensuring that you gain the practical experience needed to excel. The course culminates in a project where you will apply what you’ve learned by creating your own AI-powered tools using the skills and knowledge gained throughout the course. By the end of the course, you will have built the foundation for an AI toolbox and will have the expertise to use prompt engineering in your own projects. This course is ideal for anyone interested in learning prompt engineering, whether you're an aspiring AI developer, a data scientist, or someone who wants to gain hands-on experience in using APIs for AI-driven applications. It requires a basic understanding of programming but is accessible to beginners with a technical background. By the end of the course, you will be able to set up your development environment, make API calls, use the OpenAI Python library, build command-line interfaces, and create AI-powered tools using best practices.

In this module, we will introduce you to the course and its objectives, exploring the significance of prompt engineering skills in AI projects. You'll get a glimpse of the course structure and key projects, with insights into how these will enhance your ability to work with LLMs. We will also set expectations for the practical application of the concepts you'll learn.

What's included

6 videos2 readings

6 videos•Total 21 minutes
  • Welcome and Course Overview•4 minutes
  • The Value of Prompt Engineering Skills•3 minutes
  • Setting Expectations•3 minutes
  • Introducing the Course Project•3 minutes
  • Exploring the Project Modules•4 minutes
  • Overview of OpenAI API Costs•4 minutes
2 readings•Total 20 minutes
  • Introduction to the Course 'Prompt Engineering Foundations'•10 minutes
  • Full Specialization Resources•10 minutes

In this module, we will guide you through setting up your development environment, ensuring you're ready to work with prompt engineering tools and APIs. You'll configure your local Python environment, set up OpenAI and Anthropic accounts, and generate API keys to start making API calls to LLMs.

What's included

4 videos1 assignment

4 videos•Total 12 minutes
  • Section Overview•1 minute
  • Configuring Your Local Python Environment•3 minutes
  • Setting Up Your OpenAI Account and Keys•5 minutes
  • Setting Up Your Anthropic Account and Keys•3 minutes
1 assignment•Total 15 minutes
  • Setting Up Your Development Environment - Assessment•15 minutes

In this module, we will provide a hands-on crash course in using the OpenAI Python library, which will serve as the foundation for interacting with language models. You'll learn how to securely manage API keys, make your first API calls, and process API responses. Additionally, we'll cover simplifying API interactions with LiteLLM and managing model parameters to control outputs.

What's included

11 videos1 assignment

11 videos•Total 101 minutes
  • Section Overview•3 minutes
  • Environment Setup•6 minutes
  • Managing API Authentication Securely•8 minutes
  • Making Your First API Call to a Chat Model•10 minutes
  • Simplifying LLM Calls with LiteLLM•10 minutes
  • Connecting to Anthropic Models via LiteLLM•10 minutes
  • Understanding and Parsing the API Response•12 minutes
  • Controlling Creativity and Length with Temperature and max_tokens•10 minutes
  • Fine-Tuning Output with stop, n, and response_format•12 minutes
  • Implementing Real-Time Responses with Streaming•9 minutes
  • How to Run Large Language Models Locally with Ollama•11 minutes
1 assignment•Total 15 minutes
  • OpenAI Python Library Crash Course - Assessment•15 minutes

In this module, we will lay the groundwork for your first AI-powered project. You'll learn how to set up the project directory, implement the basic structure, and create a simple AI-powered "Hello World" feature. We'll also guide you through writing initial unit tests to ensure functionality and robustness.

What's included

6 videos1 reading3 assignments

6 videos•Total 46 minutes
  • Module Overview and Goals•1 minute
  • Creating the Initial Project Structure•11 minutes
  • A Guided Tour of the Starter Code•6 minutes
  • Building the Command-Line Interface with Click•12 minutes
  • Implementing an AI-Powered "Hello World"•8 minutes
  • Writing Your First Test for the AI Feature•8 minutes
1 reading•Total 10 minutes
  • Conclusion to the Course 'Prompt Engineering Foundations'•10 minutes
3 assignments•Total 90 minutes
  • Project Module #1: Building the AI Toolbox Foundation - Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

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Frequently asked questions

Prompt Engineering is the practice of designing inputs (prompts) to guide large language models (LLMs) in generating accurate and useful outputs. It is essential because it allows developers to fine-tune AI interactions, improving model performance in various tasks. With AI becoming increasingly integrated into applications, having strong prompt engineering skills ensures that models are leveraged effectively for real-world use cases.

The "Prompt Engineering Foundations" course covers the basic principles of prompt engineering, focusing on practical skills for working with AI models. It provides a structured approach to learning the core concepts, including API interactions, model configurations, and project-based application of prompt engineering. The course includes practical exercises such as building AI tools and writing tests for AI features, ensuring you can apply your knowledge immediately.

After completing this course, you will be proficient in designing effective prompts and interacting with APIs from major AI models like OpenAI and Anthropic. You’ll have hands-on experience in building simple AI-powered tools, like a basic "Hello World" feature, and be capable of implementing AI tools with proper project structure and testing. This will enable you to apply prompt engineering in your personal projects or professional work.

The course is designed for beginners and does not require prior experience in prompt engineering or AI. However, some familiarity with programming, especially in Python, will be helpful. Additionally, an interest in learning about APIs and AI tools will enhance your experience in the course. The course also covers setting up the necessary environments, so you don't need to have prior knowledge of the specific tools discussed.

This course is ideal for anyone looking to gain foundational knowledge in prompt engineering and AI tool development. It’s perfect for beginners in AI, software developers, or tech enthusiasts who want to understand how to interact with AI models and improve their applications using prompt engineering techniques.

The course is designed to be completed in 6 hours. This includes video lessons, practical labs, and a hands-on project that will allow you to practice the concepts and tools introduced throughout the course. You can progress at your own pace, but completing it in a day or over a few sessions is highly achievable.

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,