Hey, you can also create AI services. [Image AI Service Serverless Full Stack]

Learn Serverless Full-Stack Development, Deployment with AI Pet Concept Image Generation Service

(4.7) 9 reviews

134 learners

Level Basic

Course period 12 months

Serverless
Serverless
AWS
AWS
Dreambooth
Dreambooth
RunPod
RunPod
AI
AI
Serverless
Serverless
AWS
AWS
Dreambooth
Dreambooth
RunPod
RunPod
AI
AI

Reviews from Early Learners

4.7

5.0

JW

8% enrolled

The server costs were a bit burdensome for a side project, but it was a great lecture because I learned that it can be done cost-effectively!

5.0

kwangho.jung

30% enrolled

Thank you for the great lecture.

5.0

onestone

100% enrolled

This is a good lecture. However, when I took it at this point in time, the software versions from when the lecture was recorded and the site environments have all changed, making it difficult to modify and find solutions. It became difficult to proceed from runpod onwards. I learned well. Thank you. npm install sst@2.38.7 --save-dev npm install prop-type cd web npm create vite@latest web --template react npm install react-router-dom npm install react-image-file-resizer heic2any npm install prop-type npm install axios npm i @tosspayments/payment-sdk

What you will gain after the course

  • AI service-specialized React development

  • Low maintenance cost AWS Serverless Backend

  • Cost-effective AI serverless deployment

  • Apply domain

  • Toss Payments Payment Integration

  • AWS DynamoDB, S3, Lambda

  • Building an AI Server Using Docker

  • CI/CD

These photos...

User Photo 1

User Photo2

User Photo 3

Like this! We'll build a service that creates it together. With cost-effective serverless!

Generated Image

Generated Image 2

Generated Image 3

AI Full-Stack Course: Learn by Building a Pet Profile Generation Service

You've probably heard of AI services at least once, and some of you may have already tried using them.

AI image generation services are being launched with unique and diverse offerings, including <profile image> generation, <american school graduation photos>, and <pet profile photos>.

Have you ever thought about generating images like this with your own ideas?

However, when preparing a service, considering not only the frontend and backend but also AI servers creates high barriers to entry. Image generation AI servers are especially expensive because they use graphics cards, making the costs too burdensome for side projects.


Creating Cost-Effective AI Services
with Serverless Architecture

In this course, we introduce how to build an image generation AI server as a serverless API and handle AI servers at low cost. We also introduce side project-friendly development approaches, such as building the backend serverless as well and designing a structure where costs are not charged when not in use.

You can experience full-stack development including frontend, backend, and AI server centered around a pet profile image generation service. Additionally, you can gain extensive experience in the entire service development/deployment process, including test server setup using AWS (Amazon Web Services) and SST, domain application, Toss Payments integration, and actual deployment.

After taking this course, you will gain the confidence to build your own AI service!

Reference Information

Course Direction

Create your own service
more easily with the provided source code!

Each lecture includes a lecture notes link. The lecture notes contain pre-written code that will be used in that lecture and explain which code to copy and where to add it during the lecture. They also explain how this code is structured and what can be changed by modifying different parts of the code. This is designed to make it easy to build your own service based on the lecture code in the future.


Front-end, back-end, and AI servers
Everything about AI service full-stack!

For each lecture, I've clearly distinguished whether we'll be working on the frontend, backend, or AI server. First, I'll explain the development structure we'll use, then build the necessary features step by step in the order a user would encounter them when accessing and using the site. Since this isn't an AI theory course, rather than focusing heavily on AI server construction and intensive AI code explanations, we'll center on the features needed to build your own service - such as how to preprocess images, which parts to modify to change generated images, and other practical implementation aspects.


Service modification deployment done right!

When you actually operate a service, there will be things that need to be modified and updated. The advanced course includes CI/CD on how to make modifications and deploy those changes.

Pre-enrollment Reference Information 📢

  • Tempo)

    I adjusted the tempo of all lectures to be fast so as not to waste time.

  • Cost)

    Since we use paid services like AWS, card registration is required. Although the course uses everything within the free tier limits, if you do extensive testing separately, charges may be incurred.

  • Q&A)

    Please feel free to leave questions anytime, and I'll respond as quickly as possible. If you provide detailed explanations so I can reproduce the same situation, I'll be able to give you more accurate answers!

Recommended for
these people

Who is this course right for?

  • For those who wanted their own AI service

  • Wanted to build an AI service but felt cost was a burden.

  • Anyone who wants to try full-stack development and deployment using serverless.

Need to know before starting?

  • HTML, CSS

  • Javascript (required, must know syntax)

  • React (optional)

Hello
This is entaline

I work on many AI service side projects.

I am very interested in building cost-effective architectures using serverless.

Curriculum

All

40 lectures ∙ (5hr 39min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

9 reviews

4.7

9 reviews

  • onestone1503님의 프로필 이미지
    onestone1503

    Reviews 1

    Average Rating 5.0

    Edited

    5

    100% enrolled

    This is a good lecture. However, when I took it at this point in time, the software versions from when the lecture was recorded and the site environments have all changed, making it difficult to modify and find solutions. It became difficult to proceed from runpod onwards. I learned well. Thank you. npm install sst@2.38.7 --save-dev npm install prop-type cd web npm create vite@latest web --template react npm install react-router-dom npm install react-image-file-resizer heic2any npm install prop-type npm install axios npm i @tosspayments/payment-sdk

    • saberjeong2812님의 프로필 이미지
      saberjeong2812

      Reviews 1

      Average Rating 5.0

      5

      8% enrolled

      The server costs were a bit burdensome for a side project, but it was a great lecture because I learned that it can be done cost-effectively!

      • ba32631438님의 프로필 이미지
        ba32631438

        Reviews 1

        Average Rating 5.0

        5

        10% enrolled

        1. I often wasted a lot of time watching videos and following the code, but since the lecture materials were provided separately so that I could copy and paste them, it was good that the videos explained how the code worked, making it easy to understand. 2. The tempo felt fast. I skipped over the parts I knew right away and went back and listened to the parts I didn't know or didn't understand well. 3. I had studied React to some extent, so it was easy to follow, but if you're not familiar with JavaScript, it might be hard to follow. 4. Since it's a full-stack course, it doesn't go into detail, but it was enough to complete the project. 5. I felt like it was more expensive than other lectures, but I think it was worth it because I got the basic code for working on an AI project and it's a topic that you can't find in other lectures.

        • kwanghojung4465님의 프로필 이미지
          kwanghojung4465

          Reviews 6

          Average Rating 5.0

          5

          30% enrolled

          Thank you for the great lecture.

          • lkhseven9193님의 프로필 이미지
            lkhseven9193

            Reviews 3

            Average Rating 5.0

            5

            100% enrolled

            It was very interesting to learn about the process of developing full-stack by integrating the latest IT technologies with the new topic of AI. However, since you are exposed to many services and the latest technologies at once, it is a bit difficult to understand in one class. If you acquire some related knowledge and study repeatedly, you will be able to grow in many areas. Thank you for the great lecture. (A developer who only experienced C/C++)

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