CF

Next.js & React with ChatGPT - Development Guide (2023)

7h 6m 49s
English
Paid

Learn to build a Next.js application from scratch and integrate OpenAI's ChatGPT to create a functional chatbot app. Throughout this course, you'll acquire the necessary skills to develop a Next.js application, while also learning how to incorporate ChatGPT technology to enable users to query an AI about specific technology stacks, libraries, frameworks, or programming languages covered in the course.

Course Overview

A significant portion of the course focuses on designing the application layout, enhancing user experience, and assembling everything from the ground up. Importantly, each segment of the course is optional; you have the flexibility to skip sections as needed and download the project at any stage of development.

Key Features of the Course

Integrating OpenAI's ChatGPT

This course emphasizes text completion using OpenAI, primarily employed in chatbot applications. While it doesn't cover every aspect of ChatGPT, it offers a practical guide on integrating the AI model into a Next.js application.

What is Next.js?

Next.js is a React framework that offers infrastructure and a seamless development experience for server-side rendered (SSR) and static page applications.

  • It includes an intuitive page-based routing system, with support for dynamic routes.

  • It supports pre-rendering, including both static generation (SSG) and server-side rendering (SSR), on a per-page basis.

What is ChatGPT?

ChatGPT is a robust AI language model developed by OpenAI. It can understand and respond to text inputs in a human-like manner and is extremely versatile due to its training on vast text datasets, making it suitable for a variety of language-based applications.

About the Author: Udemy

Udemy thumbnail

Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

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#1: Introduction
All Course Lessons (59)
#Lesson TitleDurationAccess
1
Introduction Demo
02:45
2
What to expect from the course
03:31
3
How to resolve issues or skip lecture
05:07
4
Init Project
06:16
5
Tailwind init
09:00
6
Center content
05:53
7
Json data and assets
06:57
8
Render Stacks
10:26
9
Border hover classes
05:45
10
Stack Page
09:56
11
Adds header
07:20
12
Message layout
11:04
13
Textarea for prompt
04:24
14
Move code to components
07:30
15
Different classes for messages
07:53
16
Handle prompt value
09:22
17
Add messages
07:32
18
Scroll to bottom
04:46
19
Completion Api route
05:49
20
Send data to Api
10:16
21
Get response from request
05:53
22
Add ai message
06:02
23
Typewriter effect
06:55
24
Blinking cursor
06:22
25
Disable typewriter
03:19
26
OpenAI Account + Api keys
11:37
27
Completion API
18:35
28
ChatGPT Params
23:49
29
Debug config
04:34
30
Make better prompt
09:49
31
Hardcode response
05:43
32
React markdown
05:07
33
Code highlight
15:12
34
Code cleanup
05:48
35
Use Effect Fix
01:48
36
Fix typewriter styles
03:38
37
Session keys
07:06
38
Set active session
03:23
39
Init iron sessions
08:34
40
Api endpoint to store session
04:59
41
Storing user in session
08:43
42
Retrieve user in Post endpoint
05:04
43
Fetch user client side
06:39
44
Move fetch user to hook
04:13
45
Display uid in ui
01:22
46
Set active session on reload
02:07
47
Select default session
03:24
48
Init lowDb
13:45
49
Cache DB
05:57
50
Store message history
11:10
51
Save data to DB
07:48
52
Feed history to chatGPT
05:14
53
Message history memory size
06:35
54
Clear history on chat enter
10:10
55
Different bots
08:48
56
Handle case when no messages
02:18
57
Github repo
08:53
58
Deploy app to vercel
06:14
59
Store in-memory & Course Finish
08:40
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Frequently asked questions

What prerequisites should I have before taking this course?
Before enrolling in the course, it is recommended to have a basic understanding of JavaScript and React, as these are foundational technologies used throughout the lessons. Familiarity with Node.js concepts can also be beneficial since the course involves setting up a Next.js application, which is a React framework that supports server-side rendering and static page applications.
What will I build by the end of this course?
By the end of the course, you will have built a fully functional Next.js application integrated with OpenAI's ChatGPT. The project includes features like a message layout, a textarea for user prompts, and the ability to send and receive data through an API. The application also incorporates a typewriter effect and allows users to query the ChatGPT model about various technology stacks, libraries, and frameworks.
Who is the target audience for this course?
This course is ideal for developers who are interested in building web applications using Next.js and integrating AI functionalities with ChatGPT. It is also suitable for individuals who want to enhance their skills in server-side rendering and static page applications, or those looking to explore AI-driven chatbot applications.
How does the depth of this course compare to other Next.js courses?
The course provides a practical guide specifically focused on integrating OpenAI's ChatGPT with a Next.js application. While it covers key aspects of Next.js, such as page-based routing and server-side rendering, it is particularly specialized in the integration of AI models. Other courses might offer broader coverage of Next.js features or different use cases.
What specific tools or platforms will be used during the course?
The course utilizes Next.js as the primary framework for building the application. Tailwind CSS is used for styling components, and OpenAI's ChatGPT API is integrated to create the chatbot functionality. Additionally, deployment of the application is demonstrated using Vercel, a platform optimized for Next.js hosting.
What topics are not covered in this course?
While the course provides a practical guide on integrating ChatGPT into a Next.js application, it does not cover every aspect of the ChatGPT model. Topics such as advanced configuration of ChatGPT or other AI models, as well as in-depth exploration of all Next.js features, are not included.
How much time should I expect to commit to this course?
The course consists of 59 lessons, each designed to be concise and focused on specific topics. While the total runtime is not specified, students should be prepared to spend additional time practicing coding exercises and integrating components into their project. The course is structured to allow flexibility, enabling you to skip sections or focus on particular areas of interest.