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

Some of you may have heard of AI services or even used them.

A variety of unique AI services are being launched, including services that create <profile images>, <American high school style graduation photos>, and <pet profile photos> using image generation AI.

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

However, when preparing a service, considering not only the front-end and back-end, but also the AI server, you face a high barrier to entry. Furthermore, the image generation AI server utilizes graphics cards, making it very expensive. This is a significant burden for a side project.

In a serverless manner
Creating cost-effective AI services

This lecture introduces a low- cost way to handle an image-generating AI server by building it with a serverless API . It also introduces a side-project-friendly development approach, including building the backend serverless and designing it so that it doesn't incur fees when not in use.

You'll experience a full-stack solution, encompassing front-end, back-end, and AI servers, centered around a pet profile image creation service. Furthermore, leveraging AWS (Amazon Web Services) and SST, you'll gain hands-on experience with the entire service development and deployment process, from test server setup and domain application to Toss Payments payments and live deployment.

After taking this course, you'll feel confident enough to build your own AI service!

With the provided source code
Make your own service a little easier!

Each lecture includes a link to lecture notes. These notes contain pre-written code for the lecture, explaining which code to copy and where to insert it during the lecture. They also explain how the code is structured and what changes can be made to the code. This makes it easy to build your own services based on the lecture code in the future.

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

Each lecture distinguishes between front-end, back-end, and AI server development. We begin by explaining the development structure, then walk through the necessary features step-by-step, from a user's perspective. Because this isn't an AI theory course, we focus on building an AI server and, rather than delving into AI code, on features necessary for building your own service, such as how to preprocess images and what changes you need to make to modify the generated images.

Service modifications are guaranteed to be distributed!

When operating an actual service, there will be things that need to be modified and updated. The advanced lecture includes CI/CD, which covers how to modify and deploy the modifications.