VOOZH about

URL: https://www.coursera.org/learn/packt-generative-ai-and-chatgpt-quickstart-with-examples-sz9eb

⇱ Generative AI and ChatGPT - Quickstart with Examples | Coursera


Generative AI and ChatGPT - Quickstart with Examples

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Generative AI and ChatGPT - Quickstart with Examples

Included with

Ask Coursera

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

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

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

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

February 2026

Assessments

6 assignments

Taught in English

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 videoTotal 1 minute
  • Welcome to AI!1 minute
1 readingTotal 10 minutes
  • Full Course Resources10 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 videosTotal 16 minutes
  • Introduction to the OpenAI API2 minutes
  • GPT-3: What Is It?5 minutes
  • Models, Endpoints, and Usage4 minutes
  • Playground: Testing Open AI's API and GPT-3 Models3 minutes
  • Documentation, Guidelines, and Examples2 minutes
1 assignmentTotal 15 minutes
  • Discovering the Beta of Open AI - Assessment15 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 videosTotal 29 minutes
  • Introduction + Starter Project (Download)5 minutes
  • OpenAI Node.js Library: Installation and Usage 1/24 minutes
  • OpenAI Node.js Library: Installation and Usage 2/22 minutes
  • API Key and Authentication3 minutes
  • Making Requests: Async Function, POST Request, and Completion Output10 minutes
  • Adjust Settings5 minutes
1 assignmentTotal 15 minutes
  • OPEN AI: The API Reference, Installation, and Quickstart Example - Assessment15 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 videosTotal 33 minutes
  • Introduction and Starter Project7 minutes
  • API Key + OpenAI API Configuration8 minutes
  • Create Completion with the Davinci Model4 minutes
  • Design the Prompt and Adjust the Settings11 minutes
  • Conclusion + Download Final Project2 minutes
1 assignmentTotal 15 minutes
  • Completion Model: Learn How to Generate Content - (Project: FACTS SEARCH) - Assessment15 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 videosTotal 18 minutes
  • Introduction and Starter Project2 minutes
  • OpenAI API Configuration (Demo)3 minutes
  • Design the Prompt and Adjust the Settings3 minutes
  • Making Requests to the DALL-E API6 minutes
  • Final Steps: Generate New Images with a Text Input4 minutes
3 assignmentsTotal 90 minutes
  • Full Course Practice Assessment15 minutes
  • DALL-E Model: Learn to Generate New Images from Text - Assessment15 minutes
  • Full Course Assessment60 minutes

Instructor

Offered by

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

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.

No prior experience in AI or programming is required to take this course. However, familiarity with basic programming concepts, especially in JavaScript, will be helpful. If you’re new to coding, you’ll still be able to follow along with the instructions and learn how to set up and interact with the OpenAI API effectively.

This course is ideal for beginners who are interested in learning how to work with generative AI tools, especially those focused on language and image generation. It is suitable for developers, marketers, content creators, or anyone curious about how AI can be leveraged for creative and business purposes. If you're eager to explore the potential of OpenAI models like ChatGPT and DALL-E, this course is for you.

The course consists of approximately 1 hour of video content. Depending on your pace and whether you choose to complete the hands-on projects, it may take a bit longer to fully absorb and implement the concepts. However, the structured content allows for a quick start in understanding the fundamentals of generative AI.

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,