OpenAI APIs with Node.js: Building Next-Generation Web Apps

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Shadi Ghaith

7:46:21

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1. Getting Started

1.1 Resources.zip

1. AI, ML & Models Overview.mp4

05:55

2. OpenAI & Models Overview.mp4

07:24

3. OpenAI Platform Overview.mp4

20:43

4. Requirements and Prerequisites.mp4

06:46

2. OpenAI API Fundamentals

1. Create An OpenAI Account and an API Key.mp4

06:19

2. Create Node.js Application & Install OpenAI & Key.mp4

09:12

3. OpenAI Models.mp4

12:44

4. Making GPT 3.5 Requests Using the OpenAI API.mp4

13:21

5. Convert to Express and Create JSON APIs.mp4

08:24

6. Create Frontend Using ChatGPT.mp4

10:37

7. OpenAI APIs Costs.mp4

05:23

8. Tokens.mp4

05:05

9. Chat Completion Parameters.mp4

12:13

10. Chat Completion System Role.mp4

04:47

11. Image Manipulation with DALL-E.mp4

18:33

12. Create Image Variations with DALL-E.mp4

13:07

13. Edit Images with DALL-E.mp4

12:45

14. Speech Recognition with Whisper.mp4

21:28

15. Introduction to Embeddings.mp4

20:06

3. Project Emotion Analyzer

1. Project Introduction.mp4

05:33

2. Interacting with the OpenAI APIs.mp4

12:08

3. Creating a REST API.mp4

04:40

4. Developing the Web Page.mp4

10:26

4. Project ChatGPT Clone

1. Project Introduction.mp4

12:12

2. Making a Dialogue with The Model.mp4

14:37

3. Generalize the Dialogue with Recursion.mp4

09:32

4. Convert to a REST API Using Express.mp4

04:18

5. Developing the Frontend via ChatGPT.mp4

16:41

5. Project Fridge Chef

1. Project Introduction.mp4

08:46

2. Generate Meals using ChatCompletion.mp4

06:45

3. Parse Titles & Meals.mp4

10:45

4. Create Meal Images.mp4

08:55

5. Create the REST API.mp4

05:03

6. Create Frontend with ChatGPT.mp4

11:43

6. Project YouTube Insights

1. Project Introduction.mp4

08:51

2. Download Audio from a YouTube Video.mp4

10:41

3. TranscribeTranslate Via Whisper Model.mp4

06:43

4. Obtain Insights from ChatCompletion Model.mp4

08:00

5. Convert to REST API.mp4

03:37

6. Implementing the Frontend with ChatGPT.mp4

08:03

7. Project Semantic Search

1. Project Introduction.mp4

10:13

2. Generating Embeddings & Measuring Similarities.mp4

08:57

3. Cache Embeddings in a File.mp4

16:10

4. Implement the Semantic Search Function.mp4

08:18

5. Convert to REST API.mp4

05:26

6. Implement the Web Page with ChatGPT.mp4

14:26

Description

Exploring GPT, DALL-E, Whisper in Node.js: Crafting REST APIs and Building Webpages with ChatGPT.

What You'll Learn?

Understanding of OpenAI API Interaction with Node JS
Development of AI-Enhanced Web Applications
Efficient Web Development Using AI
Adapting to Evolving AI Technologies

Who is this for?

Web Developers: Those with a foundation in web development, particularly in the JavaScript/Node js realm, looking to expand their skill set by integrating AI functionalities into their applications.

AI Enthusiasts: Individuals passionate about artificial intelligence, desiring to understand its practical applications in the real-world web environment.

Tech Entrepreneurs: Those aspiring to create next-gen applications or services can benefit from understanding how AI can be harnessed in web platforms to offer novel and competitive solutions.

Students & Educators: Anyone in academia wanting a comprehensive overview of AI's role in web development, offering both theory and hands-on experience.

What You Need to Know?

Good Command of JavaScript: Particularly, a strong understanding of Objects and Promises is essential as we'll be working extensively with JavaScript to create our application.

Basic Nodejs Knowledge: Familiarity with Nodejs basics is expected, as we'll be building a Nodejs application to integrate with the OpenAI API.

Basic Knowledge of Express Framework: Having a basic understanding of the Express framework will be beneficial as we'll convert our Nodejs app into an Express server for creating JSON APIs.

Knowledge of REST APIs and HTTP: Understanding RESTful APIs and HTTP request/response concepts is necessary as we will expose our applications as REST APIs.

More details

Description
Course Overview:
Welcome to "OpenAI APIs with Node.js," a comprehensive course that teaches you how to combine the powerful capabilities of OpenAI with the versatility of Node.js. While many courses emphasize AI integration with Python, we are pioneers in highlighting the union of OpenAI's advanced models with Node.js, bringing AI's potential to robust and scalable web applications.

Why Node.js for OpenAI Integration?
Over the past 30 years, AI research has advanced rapidly, with Python becoming the dominant language for experiments and demos.
As AI innovations transition to production-grade applications, the limitations of Python in areas like concurrency, security, performance, and user-friendliness become evident.
Legacy systems, many of which use other tech stacks, need to harness new AI advancements.
OpenAI's provision of a Node.js SDK demonstrates a recognition of this gap, and our course fills the educational void with an emphasis on using Node.js for AI-driven applications.
Course Structure:
Getting Started:
AI, ML & OpenAI models overview.
Introduction to the OpenAI platform.
Setting up the prerequisites.
OpenAI API Fundamentals:
Setting up your OpenAI account.
Installing and authenticating with the OpenAI Node.js library.
Understanding OpenAI models and their utilities.
Creating APIs with Express and integrating with the frontend.
Diving deep into the capabilities of OpenAI models like ChatGPT, DALL-E, and Whisper.
PROJECTS:
Emotion Analyzer: Your personal AI assistant to understand sentiments behind texts.
ChatGPT Clone: Harness the power of gpt-3.5-turbo for natural, human-like interactions.
Fridge Chef: Your AI chef that recommends meals based on your available ingredients.
YouTube Insights: Extract valuable insights from YouTube videos using transcription, translation, and keyword generation.
Semantic Search: Upgrade your search capabilities with context-aware, precise results.
Required Skills:
To excel in this course, ensure you're equipped with:
Proficiency in JavaScript, especially Objects and Promises.
Basic familiarity with Node.js and Express framework.
Understanding of RESTful APIs and HTTP concepts.
Development Approach:
Experimenting with Node.js: Kickstart by interacting with OpenAI APIs directly via command-line executions to grasp the basics.
Creating REST APIs with Express: Transition your applications into web solutions, exposing their features as REST APIs, tested using Postman.
Generating Web Pages with ChatGPT: Innovate by letting ChatGPT assist in web page development, showcasing AI's potential in revolutionizing traditional development practices.

Why This Course?
This course is more than just a tutorialâ€”it's an invitation to the future of web development, where AI plays an integral role. With a thorough breakdown of both OpenAI's capabilities and Node.js's robustness, we're offering you the tools to build next-generation web applications. As with all emerging technologies, the state of OpenAI APIs is continuously evolving. Recognizing this, we pledge to keep this course updated, aligning with the latest advancements and best practices in OpenAI APIs. So, rest assured that by enrolling, you're securing a resource that will remain relevant, making this the only course you'll ever need on OpenAI APIs with Node.js.
Who this course is for:
Web Developers: Those with a foundation in web development, particularly in the JavaScript/Node js realm, looking to expand their skill set by integrating AI functionalities into their applications.
AI Enthusiasts: Individuals passionate about artificial intelligence, desiring to understand its practical applications in the real-world web environment.
Tech Entrepreneurs: Those aspiring to create next-gen applications or services can benefit from understanding how AI can be harnessed in web platforms to offer novel and competitive solutions.
Students & Educators: Anyone in academia wanting a comprehensive overview of AI's role in web development, offering both theory and hands-on experience.

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With over than 22 years in software development, 15 of them with IBM Ireland, I worked as a Software Developer, Team Leader & Architect.I started as a developer in IBM Lotus Notes and IBM Domino Server. Then became a team leader in WebSphere based Java\J2EE projects, mainly in the Learning Management Systems domain. Later I worked on LotusLive (the cloud-based IBM Social Networking product).In 2015 I obtained a PhD degree from University College Dublin on the topic of performance of large-scale systems. Prior to that I obtained a MSc degree in Advanced Software Engineering from the same university.Since 2015, I’m working as an Assistant Professor teaching Programming and other topics such as Cloud Computing and Software Testing. Additionally, I’m working as a freelancer Software Developer since 2014 specializing in Web & Mobile Applications.My diverse practical & academic experience led me to love doing educational video courses and clips in the software development arena.Dealing with my students in the university made me realize the importance of doing a lot of preparation to find the best way to transfer the knowledge across to them in an easy manner, but at the same time not loosing the depth of the concepts being delivered.As I speak two languages (Arabic & English), I found that it will be a great idea to do courses in Arabic language as well as in English Language. In courses in Arabic language, I still explain to students the terms in both Arabic & English languages, this shall give Arab students the ability to learn in their own native language but still can communicate with the software development communities over the web.

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