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Maven

How AI & LLMs Work: A Fast-Track Crash Course for Busy Professionals

  • Intermediate

Master AI concepts with a real LLM implemented entirely in a spreadsheet. This course offers a fast, interactive, and in-depth technical understanding of AI using an easy-to-learn spreadsheet interface.

  • AI concepts
  • LLM architecture
  • Spreadsheet modeling
  • AI project management

Overview

This course demystifies AI and teaches you exactly how Large Language Models (LLMs) like GPT-2 work, with no prerequisites beyond a STEM background. Using a unique spreadsheet implementation of GPT-2, we’ll break down each model component with crystal-clear explanations. Gain AI literacy, build a foundation for further AI projects, and confidently lead AI-driven teams.

  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion

Who is this course for?

Software/Web Developers

Seeking an easy introduction to machine learning.

Science & Tech Professionals

Navigating AI transformations in their fields.

Executives/Leaders

Guiding AI strategy in their organizations.

Gain an intuitive, hands-on understanding of AI and transformers in just a few hours. Perfect for busy STEM professionals, this course demystifies AI and teaches you how LLMs like GPT-2 work, using an easy-to-learn spreadsheet interface.

Pre-Requisites

1 / 3

  • STEM background

  • Interest in AI

  • Basic understanding of spreadsheets

What will you learn?

Introduction & Tokenization
Learn the basics of LLMs and how tokenization works in AI models.
Embeddings
Understand how embeddings are used in AI to represent data.
Neural Networks and Backpropagation
Explore the fundamentals of neural networks and the backpropagation algorithm.
Multi-head Attention
Dive into the concept of multi-head attention and its role in AI models.
Putting it all together
Integrate all learned concepts to understand the complete architecture of GPT-2.

What learners say about this course

  • Ishan does a great job of taking a tough concept, understanding GPT2, and decomposing the model into components.

    Sam

    Technology Sales

  • A delight to experience that lightbulb moment of understanding just how the transformer architecture works, end to end.

    Brett

    Developer Relations Engineer

  • Hands down the best way to learn about how LLMs actually work.

    Ajay

Meet your instructor

  • Ishan Anand

    Cofounder, CTO, VP Product, MIT EECS

    Ishan is a master educator, deeply interested in AI, and constantly hunting for better ways to communicate his understanding of this topic in easily understandable pieces.

New cohorts coming soon