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    Free ChatGPT course: Use OpenAI API 5 to code projects

    25 May 2023No Comments4 Mins Read

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    Free ChatGPT course: Use OpenAI API 5 to code projects
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    ChatGPT has completely changed the way we work and learn. The field of artificial intelligence is advancing rapidly, and OpenAI is leading the charge with its latest technology. This global trend has been going nowhere for a long time, instead we expect exponential growth. But what does this trend have to do with us? Well! The truth is that this technology is gradually becoming more integrated with our daily routine. And as the world evolves around us, we must adapt. As Mark Cuban said and I quote:

    “The world is changing very fast. The big will no longer defeat the small. It will be fast beating slow.”

    This is why it is imperative that developers and enthusiasts fully understand the potential of the OpenAI API and its various applications. Whatever your background or experience, this course will help equip you with the skills to stay ahead of the curve and create amazing apps with little effort.

    FreeCodeCamp has just launched the ChatGPT course – Use OpenAI API 5 to code projects in collaboration with Ania Kubow. He is a well-known software developer and course developer. You can also find her youtube channel here: Code with Ania Kubów. this 5-hour The course dives deep into the fascinating world of the OpenAI API. It provides a thorough introduction to the OpenAI API and its applications and then moves on to building 5 projects.

    A detailed outline of the course is given below:

    1. Introduction

    It emphasizes the context of the course, what it aims to achieve and its audience. You will also get an overview of what the OpenAI API is and its practical applications.

    2. Authentication

    The instructor walks through the OpenAI API documentation to explain how API keys are used for authentication and how to create your own and use it securely.

    3. Models

    It includes a list of models available in the OpenAI ecosystem and their usage, for example DALL-E, Whisper, GPT-4, GPT-3.5, etc. All supported models can be found here.

    4. Completion of the text

    The concepts of text generation, manipulation, and tokenization are explained in detail to help you master the art of text completion.

    5. Effective demand generation

    ChatGPT is very versatile and can handle a wide range of tasks, so you need to be clear about your requirements to get meaningful and accurate results. This section includes basic guidelines for the wording, structure and context of your requests to ensure they get the desired response.

    6. Chat completion projects

    This section will help you discover the full potential of Chat Completion and how to use it to build interactive applications. To put your new skills into practice, the tutorial will help you create two projects to complete the chat. In the first project, you’ll create a simple chat-end clone using JavaScript and the OpenAI API. In the second project, you’ll take it to the next level and create a ChatGPT clone using React for the front-end and Node.js for the back-end.

    7. Image generation projects

    OpenAI has released a DALL-E model that can generate images from textual descriptions. This section begins by teaching the basics of image generation, editing, and variation using DALL-E. To reinforce your understanding, it has two hands-on projects on image generation. The first project will teach you how to use JavaScript and the OpenAI API to create an image generation application. The second project is an image generation and variation app built using React, Node.js, the OpenAI npm library, and the OpenAI API. These projects will help you gain hands-on experience that will give you a solid understanding of this exciting field

    8. SQL generator project

    In the final section, you will create an SQL query generator project that translates English queries into SQL queries. This project nicely sums up all the skills you’ve learned so far in the course. It uses Typescript for the front-end, Node.js for the back-end, and the OpenAI API is used in the chat endpoints.

    If you would like to learn more about this course, please watch the video below:



    This course is a great primer if you’re interested in how to use the OpenAI API to create hands-on projects. Watch it and let me know your thoughts in the comments section.

    Kanwal Mehreen is a software developer with a strong interest in data science and the application of artificial intelligence in medicine. Kanwal has been selected as a Google Generation Scholar 2022 for the APAC region. Kanwal enjoys sharing technical knowledge by writing articles on trending topics and is passionate about improving the representation of women in the tech industry.

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