Hello and welcome on Part 3 of our tutorial on how to build sophisticated full stack applications with Bolt , UX Pilot , Supabase , and ChatGPT . In Part 1 of our tutorial, we set the stage and created a plan for our app, including our Phase 1 (aka detailed MVP ) features, a UI Development Plan , and a Design System we can use to create a beautiful app of this kind. In Part 2 , we took this plan, put it to good use, and created an actual High Fidelity design for each and every part and each and every screen of our app.

Hello and welcome to Part 2 of our tutorial about how to build actually professional fullstack applications with AI. In Part 1 of our tutorial, we set the stage and created a plan for our app, including our Phase 1 (aka detailed MVP) features, a UI Development Plan , and a Design System we can use to create a beautiful app of this kind. Today, we’ll see how we can take this plan, put it to good use, and create an actual High Fidelity design for our app, which we are then going to use to build the app itself - but that will be on Part 3.

When was the last time you went to church? And how often do you go? If you’re anything like the vast majority of people, the answer is probably “not very often, if at all”

Explore effective strategies to optimize GPU costs for fine-tuning large language models without compromising performance.

Explore how dynamic prompts using LangChain templates enhance AI interactions, improving efficiency and user satisfaction across applications.

In this course, we'll take you through the basics of prompt engineering - looking at some high level concepts for prompting LLMs, the difference between traditional and reasoning models, and best practices for prompting both to ensure consistant results.

If you are a freelancer or indie hacker who cares about the speed of delivery just as much as the quality... Then this might be the most exciting course you take this year. With Overnight Fullstack Applications, you'll learn how to take your idea today and have it ready and launched on the internet by tonight.

In this course we’ll walk you through everything you need to know about MCP—from its core components and main concepts to practical implementations. We will focus specifically on building an MCP server, as it is likely the most useful and frequently used part of the MCP architecture that you will want to implement.

Everyone’s heard of ChatGPT, but what truly powers these modern large language models? It all starts with the transformer architecture. This bootcamp demystifies LLMs, taking you from concept to code and giving you a full, hands-on understanding of how transformers work. You’ll gain intuitive insights into the core components—autoregressive decoding, multi-head attention, and more—while bridging theory, math, and code. By the end, you’ll be ready to understand, build, and optimize LLMs, with the skills to read research papers, evaluate models, and confidently tackle ML interviews.

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