AI Mastery: LLMs, Agents & Custom GPTs Explained
Cut through the AI hype and actually use it. This school teaches you how to work with Large Language Models, build AI Agents, and create Custom GPTs — no coding degree required.
Perfect for: Professionals, entrepreneurs, freelancers, and curious non-technical people who want to go beyond casual AI use and build genuine, practical fluency with modern AI tools — without needing a software engineering background.
You've heard about AI. Now it's time to use it.
Everyone is talking about ChatGPT, Claude, and AI agents — but most people are still copying prompts from Twitter and hoping for the best. This school is different. You'll build a real, working understanding of how Large Language Models think, why they behave the way they do, and — most importantly — how to bend them to your specific goals, whether that's automating your workflow, building a business tool, or creating an AI assistant that actually sounds like you.
From "I've played with ChatGPT" to "I build with AI"
We cover the full modern AI stack: prompt engineering that goes beyond basic tricks, fine-tuning concepts, Retrieval-Augmented Generation (RAG), autonomous AI Agents that take multi-step actions, and Custom GPTs you can deploy and even monetize. You'll understand the difference between models, when to use which tool, and how to wire them together into something genuinely useful — without writing a single line of code unless you want to.
Built for the real world, not a research lab
This isn't a theoretical computer science course. Every concept is taught through practical, real-world use cases: drafting, research, customer support bots, data analysis, content pipelines, and more. By the end, you won't just be an AI user — you'll be an AI practitioner who can evaluate new tools as they emerge, ask the right questions, and make confident decisions about where AI fits in your work and life.
What you'll be able to do
- Understand how Large Language Models (LLMs) work at an intuitive level — including context windows, temperature, tokens, and model differences — so you can make smarter tool choices
- Write advanced, structured prompts using proven frameworks (Chain-of-Thought, Few-Shot, Role Prompting) that produce consistent, high-quality outputs
- Build and deploy a Custom GPT tailored to a specific use case, persona, or business workflow — complete with custom instructions and knowledge files
- Design and run AI Agents that autonomously execute multi-step tasks using tools like web search, code execution, and external APIs
- Implement a basic Retrieval-Augmented Generation (RAG) pipeline so an AI can answer questions based on your documents and data
- Evaluate and compare leading AI models and platforms (OpenAI, Anthropic, Google, open-source) to choose the right one for any given job
- Identify risks, failure modes, and ethical considerations — hallucinations, bias, data privacy — and apply practical guardrails
- Integrate AI tools into real workflows for content creation, research, customer support, data analysis, and personal productivity
Curriculum
6 modules · 21 lessons
Your teacher
Shayla R Williams
I've spent the last several years living at the intersection of AI research and practical application — testing models, breaking agents, rebuilding prompts, and figuring out what actually works outside of a lab setting. I'm not a researcher publishing papers; I'm a practitioner obsessed with making these tools genuinely useful for real people doing real work. I've helped professionals across industries — from solo consultants to teams at fast-moving companies — go from AI-curious to AI-capable. This school is everything I wish had existed when I started: opinionated, practical, and ruthlessly focused on what matters. I'm glad you're here.
FAQ
Ready to start your journey?
Join get instant access — learn at your own pace with an AI coach in your corner.