Generative AI and ChatGPT - Quickstart with Examples

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.