WebDevCody - Building an AI Icon Generator using the T3 Stack

WebDevCody - Building an AI Icon Generator using the T3 Stack

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Are you looking to take your web development skills to the next level? Do you want to learn how to build a fully functional icon generator that integrates with third-party services like Dall-E API, AWS, Stripe, and more? Look no further than Web Dev Cody's online course!

With 6 hours of in-depth instruction spread over 32 videos, you'll learn everything you need to know to build a powerful icon generator using the T3 stack. This includes Next.js (pages directory), TypeScript, Tailwind CSS, Next-Auth, and Prisma. You'll also learn how to set up a PostgreSQL database using Supabase and how to upload and serve images to Amazon S3, and deploy to AWS Amplify.

But this course isn't for beginners. You should have a solid grasp of JavaScript/TypeScript, React, and coding in general before diving in. However, if you've found Web Dev Cody's other full-stack T3 stack tutorials helpful, then this course is perfect for you. You can find his free t3 stack tutorials on his youtube channel https://www.youtube.com/@webdevcody. I recommend watching through some of my videos to get a feel for how I will walk you through this course.

One thing that sets this course apart is Web Dev Cody's teaching style. If you've watched his YouTube channel, you know that he has a knack for breaking down complex topics into easy-to-understand concepts. And to help you truly understand the system you'll be building, he'll provide a high-level diagram of the entire process.

Don't miss out on this opportunity to level up your web development skills with Web Dev Cody's online course. Sign up today and start building your own icon generator in no time.

The source code for this project can be found https://github.com/webdevcody/icon-generator-course and is public for anyone to read through. My idea for this course was another resource to help you understand how a product like this is built from the ground up using the T3 stack.

Here is a sneak peek of the integration with dall-e, s3, and the database:
Author
Satoru Gojo
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