Introduction to transformer LLM applications

Tokens vs Embeddings

Multi-Model Embeddings

Building a Feed Forward NN Network

Self-attention, Traditional vs GQA

Quick Freshness of Fundamentals: What is AI, LLMs, Embeddings, Agents.

What is AI, LLMs, Embeddings, Agents (light-weight)

What is Prompt Engineering

Key LLM Concepts

Basic Tips

Traditional vs Reasoning Models

Anatomy of a Prompt

Traditional Model Example

Prompting Reasoning Models

Reasoning Model Example

Introduction to Synthetic Data, Evaluation, and Error Analysis

Fundamentals of Prompt Engineering

Retrieval Augmented Generation (RAG)

from The Basics of Prompt Engineering to RAG

Prompt Engineering

Step 1 - The Role

Step 2 - The Wish

Step 3 - The PRD

Step 4 - The Phase 1

Step 5 - The User Journey

Step 6 - The Politically Incorrect Sorting

Step 7 - The UI Development Plan

Step 8 - The Vibe

Step 9 - The UI Flow

Step 10 - The Design System

Step 11 - The Storage

11-step process for generating everything you need before you code a single line

Fullstack Planning

( the primaryDescriptionMarkdown is long - several lines, include images, as long as you want )

In this course we <headline of what we do>. <why this technology is good> but <here's how learning it is problem>. 

In <the length of these lessons> we cover <three salient points about what we cover. Your BEST points>. Its <however long it is> and comes with <these bonus features, and reasons to buy. code, etc.>

It's taught by <author name> who <credibility, reason you should listen to them>. <social proof, if you have it yet>

<then you can list other supporting stuff you want to add, anything you want here>

-------
Example:
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We created a free course to create your first GraphQL server (from scratch) using Node and TypeScript. TypeScript and GraphQL are a powerful combo, but there's a lot of confusing edges if you're getting it setup the first time.

In this course we cover the basics of getting TypeScript setup with Node, how GraphQL works, and how to set up a GraphQL server using Apollo server. It's two hours long, it comes with complete code examples, and we walk through the code step-by-step.

It's taught by my friend, Shopify-engineer Hassan Djirdeh and he's integrated what he's learned using GraphQL in production as an engineer at Shopify. We've already had over 1,300 students enroll and it's been getting great reviews so far.

// ... and so on

From prompt to product in days, without bogging into advanced topics

In this course we <headline of what we do>. <why this technology is good> but <here's how learning it is problem>. 

( the summary is short - one or two lines )

Power AI course 

This module introduces the core idea behind prompt engineering—less a technical discipline and more a communication craft. You’ll explore what it truly means to “engineer” prompts, and why the term persists despite some debate in the technical community.

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title: What is Prompt Engineering
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### What is Prompt Engineering?

This module introduces the core idea behind prompt engineering—less a technical discipline and more a communication craft. You’ll explore what it truly means to “engineer” prompts, and why the term persists despite some debate in the technical community.

zaoyang

Okay, let's move on. So what is prompt engineering? You guys probably already

Generally, I figure if you ask this question to people, especially in technical

there's two answers you're going to get, right? The first answer is usually

actually engineering, but it's a buzzword, which honestly, it is more about

engineering, right? You don't need to be able to code or even to weld something

prompt, right? So it is really more in the sphere of communications than the

So I won't even fully disagree with people that say this, but this is a nomencl

around. So that's what we're calling it, because it's the easiest thing to

right? But effectively, all it is writing the right prompts to get the desired

algorithms and other gen AI tools. So this applies to pretty much any non-deter

language model that you're using, right? Because when you're in that non-deter

there's a lot of room for ambiguity, there's a lot of room for error, there's

of course. Good prompting tries to anticipate those things get you some kind of