Generative AI and ChatGPT - Quickstart with Examples
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Generative AI and ChatGPT - Quickstart with Examples
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What you'll learn
Gain hands-on experience with OpenAI's API and the GPT-3 language model.
Learn to design effective prompts and adjust settings to optimize content and image generation.
Build and deploy AI-driven applications with text and image generation capabilities.
Explore key concepts such as API keys, authentication, and real-time model testing through the OpenAI Playground.
Skills you'll gain
Details to know
February 2026
6 assignments
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There are 5 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 course, you will explore the fundamentals of Generative AI and GPT-3, gaining practical knowledge on how to use OpenAI’s API and leverage its capabilities in real-world applications. By starting with an overview of AI, you will build a strong foundation, setting the stage for a deep dive into GPT-3's power, including its ability to generate human-like text and perform various language processing tasks. You’ll gain hands-on experience through the OpenAI playground, a powerful tool that allows you to experiment with models and test different prompts to see their real-time output. The course continues by guiding you through the installation of OpenAI's Node.js library, authentication setup, and request-making procedures. As you move further into the content, you’ll learn how to adjust settings, make requests, and fine-tune your models to optimize outputs. A key part of the course is the FACTS SEARCH project, where you will apply your knowledge to create a content generation tool using GPT-3’s completion model. You will also explore OpenAI’s DALL-E model, learning to generate unique images based on text prompts. This course is ideal for those interested in exploring the exciting potential of AI and learning how to integrate it into their projects. There are no complex prerequisites, making it accessible for beginners. You’ll learn step-by-step with clear instructions, examples, and starter projects that help cement your understanding. By the end of the course, you will be able to effectively use OpenAI’s API to generate text and images, create AI-driven applications, and fine-tune GPT-3 and DALL-E models for specific use cases.
In this module, we will introduce the foundational concepts of AI, including its definition and significance in today’s world. You will gain an overview of the course structure and objectives, setting the stage for your AI learning journey.
What's included
1 video1 reading
1 video•Total 1 minute
- Welcome to AI!•1 minute
1 reading•Total 10 minutes
- Full Course Resources•10 minutes
In this module, we will delve into the OpenAI API, exploring its features and capabilities, including GPT-3. You’ll learn how to interact with the API and experiment with its potential applications, preparing you for practical usage.
What's included
5 videos1 assignment
5 videos•Total 16 minutes
- Introduction to the OpenAI API•2 minutes
- GPT-3: What Is It?•5 minutes
- Models, Endpoints, and Usage•4 minutes
- Playground: Testing Open AI's API and GPT-3 Models•3 minutes
- Documentation, Guidelines, and Examples•2 minutes
1 assignment•Total 15 minutes
- Discovering the Beta of Open AI - Assessment•15 minutes
In this module, we will guide you through setting up the OpenAI Node.js library, configuring your environment, and making your first API calls. You’ll get hands-on experience working with API keys, making requests, and adjusting settings to fine-tune results.
What's included
6 videos1 assignment
6 videos•Total 29 minutes
- Introduction + Starter Project (Download)•5 minutes
- OpenAI Node.js Library: Installation and Usage 1/2•4 minutes
- OpenAI Node.js Library: Installation and Usage 2/2•2 minutes
- API Key and Authentication•3 minutes
- Making Requests: Async Function, POST Request, and Completion Output•10 minutes
- Adjust Settings•5 minutes
1 assignment•Total 15 minutes
- OPEN AI: The API Reference, Installation, and Quickstart Example - Assessment•15 minutes
In this module, we will explore how to use the OpenAI completion models to generate content. Through the FACTS SEARCH project, you will learn to design prompts and fine-tune settings, applying these skills to create meaningful output.
What's included
5 videos1 assignment
5 videos•Total 33 minutes
- Introduction and Starter Project•7 minutes
- API Key + OpenAI API Configuration•8 minutes
- Create Completion with the Davinci Model•4 minutes
- Design the Prompt and Adjust the Settings•11 minutes
- Conclusion + Download Final Project•2 minutes
1 assignment•Total 15 minutes
- Completion Model: Learn How to Generate Content - (Project: FACTS SEARCH) - Assessment•15 minutes
In this module, we will focus on the DALL-E model and its ability to generate images from textual prompts. You will learn how to set up the API, design prompts, and refine settings to produce stunning images from text descriptions.
What's included
5 videos3 assignments
5 videos•Total 18 minutes
- Introduction and Starter Project•2 minutes
- OpenAI API Configuration (Demo)•3 minutes
- Design the Prompt and Adjust the Settings•3 minutes
- Making Requests to the DALL-E API•6 minutes
- Final Steps: Generate New Images with a Text Input•4 minutes
3 assignments•Total 90 minutes
- Full Course Practice Assessment•15 minutes
- DALL-E Model: Learn to Generate New Images from Text - Assessment•15 minutes
- Full Course Assessment•60 minutes
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Frequently asked questions
Generative AI refers to the branch of artificial intelligence that focuses on creating content, such as text, images, and music, using models trained on vast amounts of data. ChatGPT, developed by OpenAI, is a prominent example of this technology, capable of generating human-like text responses. This field is highly relevant today because it has the potential to revolutionize industries by automating creative tasks, improving customer service, and enhancing data analysis capabilities.
This course, "Generative AI and ChatGPT - Quickstart with Examples," is designed to introduce learners to the fundamental concepts and practical applications of Generative AI, with a specific focus on ChatGPT and the OpenAI API. Through hands-on examples and projects, students will learn how to interact with OpenAI’s API, work with models like GPT-3 and DALL-E, and explore how to create content using these advanced AI models.
After completing this course, you will be able to confidently use the OpenAI API to generate text and images with ChatGPT and DALL-E. You’ll understand how to design effective prompts, adjust settings to fine-tune outputs, and build basic applications using these models. Additionally, you will gain practical experience working with the tools through project-based learning, which will enhance your ability to implement AI in real-world scenarios.
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